From d217fe944a2003186fa915602393887494a6e0fa Mon Sep 17 00:00:00 2001 From: Lucas Einig Date: Wed, 2 Oct 2024 13:54:04 +0200 Subject: [PATCH] Docs --- .github/workflows/publish.yml | 31 + README.md | 4 +- coverage.svg | 4 +- docs/coverage.svg | 21 - docs/gallery-examples.rst | 5 +- docs/index.rst | 25 +- docs/infovar.rst | 1 + examples/.gitignore | 5 +- examples/README.md | 21 +- examples/california-housing.ipynb | 201 +++--- .../{inputs.yaml => settings.yaml} | 0 .../{inputs_cont.yaml => settings_cont.yaml} | 0 examples/continuous-handler.ipynb | 304 ++++++++- examples/discrete-handler.ipynb | 597 ++++++++++++++++-- examples/handlers/restrictions.yaml | 10 +- examples/handlers/s1.json | 53 -- examples/handlers/s2.json | 53 -- examples/img/boxes.drawio | 46 ++ examples/img/boxes.png | Bin 0 -> 42400 bytes infovar/__init__.py | 2 + infovar/handlers/continuous_handler.py | 490 +++++++------- infovar/handlers/discrete_handler.py | 285 ++++++--- infovar/handlers/getters.py | 59 +- infovar/handlers/handler.py | 10 +- infovar/stats/entropy_estimators.py | 6 +- infovar/stats/info_theory.py | 131 +++- infovar/stats/preprocessing.py | 14 +- infovar/stats/ranking.py | 23 +- infovar/stats/resampling.py | 102 ++- infovar/stats/statistics.py | 6 +- pyproject.toml | 9 +- tests/handlers/test_continuous_handler.py | 2 +- tests/handlers/test_discrete_handler.py | 14 +- 33 files changed, 1847 insertions(+), 687 deletions(-) create mode 100644 .github/workflows/publish.yml delete mode 100644 docs/coverage.svg rename examples/california-housing/{inputs.yaml => settings.yaml} (100%) rename examples/california-housing/{inputs_cont.yaml => settings_cont.yaml} (100%) delete mode 100644 examples/handlers/s1.json delete mode 100644 examples/handlers/s2.json create mode 100644 examples/img/boxes.drawio create mode 100644 examples/img/boxes.png diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml new file mode 100644 index 0000000..24098ef --- /dev/null +++ b/.github/workflows/publish.yml @@ -0,0 +1,31 @@ +name: Publish package to PyPI when a new version tag is pushed + +on: + push: + tags: + - 'v[0-9]+.[0-9]+.[0-9]+' + +jobs: + pypi-publish: + name: Publish release to PyPI + runs-on: ubuntu-latest + environment: + name: pypi + url: https://pypi.org/p/astro-ranch> + permissions: + id-token: write + steps: + - uses: actions/checkout@v4 + - name: Set up Python + uses: actions/setup-python@v4 + with: + python-version: "3.x" + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -q build + - name: Build package + run: | + python -m build + - name: Publish package distributions to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 diff --git a/README.md b/README.md index 905a04f..7ababac 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # InfoVar [![PyPI version](https://badge.fury.io/py/infovar.svg)](https://badge.fury.io/py/infovar) -[![Documentation Status](https://readthedocs.org/projects/infovar/badge/?version=latest)](https://infovar.readthedocs.io/en/latest/?badge=latest) -![test coverage](./coverage.svg) +[![Documentation status](https://readthedocs.org/projects/infovar/badge/?version=latest)](https://infovar.readthedocs.io/en/latest/?badge=latest) +![](./coverage.svg) The `infovar` Python package provides tools to efficiently study the informativity of variables on data of interest. diff --git a/coverage.svg b/coverage.svg index 607d3de..c149003 100644 --- a/coverage.svg +++ b/coverage.svg @@ -15,7 +15,7 @@ coverage coverage - 91% - 91% + 90% + 90% diff --git a/docs/coverage.svg b/docs/coverage.svg deleted file mode 100644 index 607d3de..0000000 --- a/docs/coverage.svg +++ /dev/null @@ -1,21 +0,0 @@ - - - - - - - - - - - - - - - - coverage - coverage - 91% - 91% - - diff --git a/docs/gallery-examples.rst b/docs/gallery-examples.rst index ba5245b..b22c86e 100644 --- a/docs/gallery-examples.rst +++ b/docs/gallery-examples.rst @@ -3,11 +3,10 @@ Gallery of examples This gallery contains several application examples for the ``infovar`` package to illustrate diverse features. - **Discrete and continuous handler basic use:** -- ``discrete-handler.ipynb``: illustrate the basic features of `DiscreteHandler` on synthetic data -- ``continuous-handler.ipynb``: illustrate the basic features of `ContinuousHandler` on synthetic data +- ``discrete-handler.ipynb``: illustrates the basic features of ``DiscreteHandler`` on synthetic data +- ``continuous-handler.ipynb``: illustrates the basic features of ``ContinuousHandler`` on synthetic data **California Housing real-world example:** diff --git a/docs/index.rst b/docs/index.rst index 9871257..1abd45b 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,12 +1,7 @@ -.. InfoVar documentation master file, created by - sphinx-quickstart on Thu Sep 19 09:37:55 2024. - You can adapt this file completely to your liking, but it should at least - contain the root `toctree` directive. - Welcome to InfoVar's documentation ================================== -The `infovar` Python package provides tools to efficiently study the informativity of variables on data of interest. +The ``infovar`` Python package provides tools to efficiently study the informativity of variables on data of interest. Context @@ -14,7 +9,7 @@ Context The informativity of a variable or set of variables is defined here as the ability of these variables, if known, to reduce the uncertainty we have about a quantity of interest. This uncertainty can be defined in several ways, for example in the sense of Shannon's information theory. -This is a ubiquitous problem in science in general, with very concrete applications in climatology, economics, psychology, sociology, and astrophysics, to name a few. Consequently, `InfoVar` has been designed to be very general. +This is a ubiquitous problem in science in general, with very concrete applications in climatology, economics, psychology, sociology, and astrophysics, to name a few. Consequently, *InfoVar* has been designed to be very general. This package provides tools for quantifying the statistical dependence (e.g., mutual information, but other metrics are available) between continuous numerical data and estimating the associated error as well as the influence of the latter on the order of variables in terms of importance. @@ -84,7 +79,7 @@ Statistics In this project, we propose to measure the statistical dependence of variables based on the mutual information. Other metrics can also be used, such as the conditional differential entropy, which is closely related to mutual information, or canonical correlation coefficient. -Mutual information and conditional differential entropy are estimated nonparametrically using [Greg Ver Steeg's implementation](http://www.isi.edu/~gregv/npeet.html). More details are given in the `assessment` directory, which evaluates the properties of each available statistics and provides further mathematical context and references. +Mutual information and conditional differential entropy are estimated nonparametrically using [Greg Ver Steeg's implementation](http://www.isi.edu/~gregv/npeet.html). More details are given in the ``assessment`` directory, which evaluates the properties of each available statistics and provides further mathematical context and references. If you're interested in other metrics, it's possible to add and use them. @@ -100,9 +95,9 @@ To account for these uncertainties and to be able to compare different values pr Estimation for different range of values ---------------------------------------- -The heart of `InfoVar` lies in the fact that the informativity of a variable on a quantity of interest can vary according to the selected range of value of this quantity. +The heart of *InfoVar* lies in the fact that the informativity of a variable on a quantity of interest can vary according to the selected range of value of this quantity. -For example, if we're interested in house prices in California (see `examples/california-housing`), among a set of variables, geographical location (latitude, longitude) appears to be the most important pair of variables. However, if we restrict ourselves to the 10% most expensive homes, it appears that the number of rooms in the house becomes most useful. This type of observation is important, for example, from a data analysis point of view, but also in a variable selection context. +For example, if we're interested in house prices in California (see ``examples/california-housing``), among a set of variables, geographical location (latitude, longitude) appears to be the most important pair of variables. However, if we restrict ourselves to the 10% most expensive homes, it appears that the number of rooms in the house becomes most useful. This type of observation is important, for example, from a data analysis point of view, but also in a variable selection context. More generally, taking into account these variations as a function of ranges of values of the variable of interest enables more refined analysis of phenomena. To help you understand, here are a few examples of possible applications. @@ -130,11 +125,11 @@ It is also possible to perform the same analysis, but according to the value ran - *Data of interest:* number of medals won by each country in each of the last 10 editions of the games. - *Variables:* amount invested by the national Olympic committee, population, per capita income, unemployment rate. -The `InfoVar` allows you to perform sensitivity analysis in two ways: +*InfoVar* allows you to perform sensitivity analysis in two ways: 1. Define rigid intervals for the data that varies (example: houses priced below $150k, between $150 and $350k and above $350k). 2. Define a sliding window and calculate the evolution of the statistics almost continuously. -In case 1 (discrete case), the `DiscreteHandler` class provides all the important functions for calculating, storing and accessing results. In case 2 (continuous case), the `ContinuousHandler` class is used. The notebooks in `examples` give an example of the use of each of these two classes. +In case 1 (discrete case), the ``DiscreteHandler`` class provides all the important functions for calculating, storing and accessing results. In case 2 (continuous case), the ``ContinuousHandler`` class is used. The notebooks in ``examples`` give an example of the use of each of these two classes. References @@ -142,8 +137,8 @@ References [1] Einig, L & Palud, P. & Roueff, A. & Pety, J. & Bron, E. & Le Petit, F. & Gerin, M. & Chanussot, J. & Chainais, P. & Thouvenin, P.-A. & Languignon, D. & Bešlić, I. & Coudé, S. & Mazurek, H. & Orkisz, J. H. & G. Santa-Maria, M. & Ségal, L. & Zakardjian, A. & Bardeau, S. & Demyk, K. & de Souza Magalhẽs, V. & Javier R. Goicoechea & Gratier, P. & V. Guzmán, V. & Hughes, A. & Levrier, F. & Le Bourlot, J. & Darek C. Lis & Liszt, H. S. & Peretto, N. & Roueff, E & Sievers, A. (2024). **Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds. I. Application to model predictions.** *Astronomy & Astrophysics.* -10.xxxx/xxxx-xxxx/xxxxxxxxx. +`10.1051/0004-6361/202451588_ `. -[2] Einig, L et al (2024, in prep.). +[2] Einig, L et al (in prep.). **Quantifying the informativity of emission lines to infer physical conditions in giant molecular clouds. II. Training robust models from selected observations.** *Astronomy & Astrophysics.* -10.xxxx/xxxx-xxxx/xxxxxxxxx. +`10.xxxx/xxxx-xxxx/xxxxxxxxx_ `. diff --git a/docs/infovar.rst b/docs/infovar.rst index 30d6d8a..2002c2c 100644 --- a/docs/infovar.rst +++ b/docs/infovar.rst @@ -8,6 +8,7 @@ Subpackages :maxdepth: 4 infovar.handlers + infovar.processing infovar.stats Module contents diff --git a/examples/.gitignore b/examples/.gitignore index 1eba3d3..8bf742e 100644 --- a/examples/.gitignore +++ b/examples/.gitignore @@ -1,4 +1,7 @@ -# California housing inputs and outputs +# Handlers introduction outputs +handlers/data + +# California housing outputs california-housing/data-out california-housing/data-out-continuous diff --git a/examples/README.md b/examples/README.md index 8c7bc01..30974b7 100644 --- a/examples/README.md +++ b/examples/README.md @@ -1,6 +1,21 @@ # Example Jupyter notebooks -This directory contains example notebooks illustrating the use of the `InfoVar` package for two different use cases. +This directory contains example notebooks illustrating the use of the *InfoVar* package for two different use cases. -- `california-housing.ipynb`: seeks the most useful variables or set of variables to estimate accurately the price of houses in California. -- `multivariate-functions.ipynb`: seeks the most informative subset of variables in real multivariate analytic functions. +**Discrete and continuous handler basic use:** + +- ``discrete-handler.ipynb``: illustrate the basic features of `DiscreteHandler` on synthetic data +- ``continuous-handler.ipynb``: illustrate the basic features of `ContinuousHandler` on synthetic data + +**California Housing real-world example:** + +- ``californa-housing.ipynb``: most informative feature to predict house values in California + +**Statistical details:** + +- ``stat:bias-variance.ipynb``: controlling the bias and estimating the variance of canonical correlations and mutual information estimators +- ``stat:canonical-corr.ipynb``: canonical correlations and their relation to mutual information in detail +- ``stat:degeneracy.ipynb``: influence of duplicate data on estimators of differential conditional entropy and mutual information +- ``stat:distribution.ipynb``: influence of data distribution on conditional differential entropy, mutual information and canonical correlations +- ``stat:multidim.ipynb``: behavior and interpretation of mutual information for multidimensional variables or targets +- ``stat:ranking``: variable ranking in details \ No newline at end of file diff --git a/examples/california-housing.ipynb b/examples/california-housing.ipynb index 98b0bd1..8e6dd06 100644 --- a/examples/california-housing.ipynb +++ b/examples/california-housing.ipynb @@ -120,7 +120,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -183,13 +183,26 @@ "cell_type": "code", "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DiscreteHandler\n", + "Save path: california-housing/data-out\n", + "Existing saves:\n", + "MedHouseVal.json\n" + ] + } + ], "source": [ - "save_path = os.path.join(abspath, \"california-housing\", \"data-out\")\n", + "save_path = os.path.join(\"california-housing\", \"data-out\")\n", "\n", "handler = DiscreteHandler()\n", "\n", - "handler.set_path(save_path=save_path)" + "handler.set_path(save_path=save_path)\n", + "\n", + "handler.overview()" ] }, { @@ -198,12 +211,8 @@ "metadata": {}, "outputs": [], "source": [ - "feature_names = dataset.feature_names + [\"Noise\"]\n", - "target_names = dataset.target_names\n", - "\n", - "getter = StandardGetter(feature_names, target_names, _variables, _targets)\n", - "\n", - "handler.set_getter(getter.get)" + "# Remove existing results if any\n", + "handler.remove(\"MedHouseVal\")" ] }, { @@ -212,36 +221,24 @@ "metadata": {}, "outputs": [], "source": [ - "with open(os.path.join(abspath, \"california-housing\", \"ranges.yaml\"), \"r\") as f:\n", - " ranges = yaml.safe_load(f)\n", + "feature_names = dataset.feature_names + [\"Noise\"]\n", + "target_names = dataset.target_names\n", "\n", - "handler.set_restrictions(ranges)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Data analysis" + "getter = StandardGetter(feature_names, target_names, _variables, _targets)\n", + "\n", + "handler.set_getter(getter.get)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "DiscreteHandler\n", - "Save path: /home/einig/PHD/projects/infovar/examples/california-housing/data-out\n", - "Existing saves:\n" - ] - } - ], + "outputs": [], "source": [ - "handler.overview()" + "with open(os.path.join(\"california-housing\", \"ranges.yaml\"), \"r\") as f:\n", + " ranges = yaml.safe_load(f)\n", + "\n", + "handler.set_restrictions(ranges)" ] }, { @@ -266,8 +263,8 @@ "metadata": {}, "outputs": [], "source": [ - "with open(os.path.join(abspath, \"california-housing\", \"inputs.yaml\"), \"r\") as f:\n", - " inputs_dict = yaml.safe_load(f)" + "with open(os.path.join(\"california-housing\", \"settings.yaml\"), \"r\") as f:\n", + " settings = yaml.safe_load(f)" ] }, { @@ -279,12 +276,12 @@ "name": "stderr", "output_type": "stream", "text": [ - "[MedHouseVal]: 100%|██████████| 9/9 [00:22<00:00, 2.54s/it, x=[Noise]] \n" + "[MedHouseVal]: 100%|██████████| 9/9 [00:17<00:00, 1.93s/it, x=[Noise]] \n" ] } ], "source": [ - "handler.update(feature_names, \"MedHouseVal\", inputs_dict, iterable_x=True)" + "handler.update(feature_names, \"MedHouseVal\", settings, iterable_x=True)" ] }, { @@ -310,7 +307,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -362,7 +359,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -495,7 +492,7 @@ } ], "source": [ - "with open(os.path.join(abspath, \"california-housing\", \"ranges.yaml\"), \"r\") as f:\n", + "with open(os.path.join(\"california-housing\", \"ranges.yaml\"), \"r\") as f:\n", " ranges_dict = yaml.safe_load(f)\n", "\n", "print(\"Considered range of values:\")\n", @@ -580,7 +577,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "[MedHouseVal]: 100%|██████████| 36/36 [01:43<00:00, 2.87s/it, x=[Longitude, Noise]] \n" + "[MedHouseVal]: 100%|██████████| 36/36 [01:17<00:00, 2.14s/it, x=[Longitude, Noise]] \n" ] } ], @@ -588,7 +585,7 @@ "handler.update(\n", " list(itt.combinations(feature_names, 2)),\n", " \"MedHouseVal\",\n", - " inputs_dict,\n", + " settings,\n", " iterable_x=True,\n", ")" ] @@ -617,7 +614,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -687,15 +684,15 @@ "1. Latitude, Longitude: 100.0%\n", "\n", "Range: high\n", - "1. AveRooms, Longitude: 35.5%\n", - "2. MedInc, Latitude: 32.4%\n", - "3. MedInc, Longitude: 15.9%\n", - "4. AveRooms, Latitude: 7.6%\n", - "5. MedInc, HouseAge: 4.0%\n", - "6. Latitude, Longitude: 2.0%\n", - "7. HouseAge, Latitude: 1.9%\n", - "8. MedInc, AveRooms: 0.5%\n", - "9. MedInc, AveOccup: 0.2%\n", + "1. AveRooms, Longitude: 36.4%\n", + "2. MedInc, Latitude: 32.0%\n", + "3. MedInc, Longitude: 15.0%\n", + "4. AveRooms, Latitude: 6.3%\n", + "5. MedInc, HouseAge: 5.5%\n", + "6. HouseAge, Latitude: 2.6%\n", + "7. Latitude, Longitude: 1.3%\n", + "8. MedInc, AveRooms: 0.7%\n", + "9. MedInc, AveOccup: 0.1%\n", "\n" ] } @@ -736,7 +733,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -801,48 +798,48 @@ "output_type": "stream", "text": [ "Range: all\n", - "1. MedInc, HouseAge: 45.2%\n", - "2. MedInc, Latitude: 9.3%\n", - "3. MedInc, AveOccup: 9.3%\n", - "4. MedInc, Longitude: 9.2%\n", - "5. MedInc, AveRooms: 7.7%\n", - "6. MedInc: 6.2%\n", - "7. MedInc, Population: 5.5%\n", - "8. MedInc, Noise: 5.3%\n", - "9. MedInc, AveBedrms: 2.2%\n", + "1. MedInc, HouseAge: 47.7%\n", + "2. MedInc, Latitude: 9.6%\n", + "3. MedInc: 7.9%\n", + "4. MedInc, Population: 7.2%\n", + "5. MedInc, AveOccup: 7.1%\n", + "6. MedInc, Longitude: 5.7%\n", + "7. MedInc, AveRooms: 5.4%\n", + "8. MedInc, Noise: 5.1%\n", + "9. MedInc, AveBedrms: 4.2%\n", "\n", "Range: low\n", - "1. MedInc, HouseAge: 45.2%\n", - "2. MedInc, Latitude: 9.3%\n", - "3. MedInc, AveOccup: 9.3%\n", - "4. MedInc, Longitude: 9.2%\n", - "5. MedInc, AveRooms: 7.7%\n", - "6. MedInc: 6.2%\n", - "7. MedInc, Population: 5.5%\n", - "8. MedInc, Noise: 5.3%\n", - "9. MedInc, AveBedrms: 2.2%\n", + "1. MedInc, HouseAge: 47.7%\n", + "2. MedInc, Latitude: 9.6%\n", + "3. MedInc: 7.9%\n", + "4. MedInc, Population: 7.2%\n", + "5. MedInc, AveOccup: 7.1%\n", + "6. MedInc, Longitude: 5.7%\n", + "7. MedInc, AveRooms: 5.4%\n", + "8. MedInc, Noise: 5.1%\n", + "9. MedInc, AveBedrms: 4.2%\n", "\n", "Range: mid\n", - "1. MedInc, HouseAge: 45.2%\n", - "2. MedInc, Latitude: 9.3%\n", - "3. MedInc, AveOccup: 9.3%\n", - "4. MedInc, Longitude: 9.2%\n", - "5. MedInc, AveRooms: 7.7%\n", - "6. MedInc: 6.2%\n", - "7. MedInc, Population: 5.5%\n", - "8. MedInc, Noise: 5.3%\n", - "9. MedInc, AveBedrms: 2.2%\n", + "1. MedInc, HouseAge: 47.7%\n", + "2. MedInc, Latitude: 9.6%\n", + "3. MedInc: 7.9%\n", + "4. MedInc, Population: 7.2%\n", + "5. MedInc, AveOccup: 7.1%\n", + "6. MedInc, Longitude: 5.7%\n", + "7. MedInc, AveRooms: 5.4%\n", + "8. MedInc, Noise: 5.1%\n", + "9. MedInc, AveBedrms: 4.2%\n", "\n", "Range: high\n", - "1. MedInc, HouseAge: 45.2%\n", - "2. MedInc, Latitude: 9.3%\n", - "3. MedInc, AveOccup: 9.3%\n", - "4. MedInc, Longitude: 9.2%\n", - "5. MedInc, AveRooms: 7.7%\n", - "6. MedInc: 6.2%\n", - "7. MedInc, Population: 5.5%\n", - "8. MedInc, Noise: 5.3%\n", - "9. MedInc, AveBedrms: 2.2%\n", + "1. MedInc, HouseAge: 47.7%\n", + "2. MedInc, Latitude: 9.6%\n", + "3. MedInc: 7.9%\n", + "4. MedInc, Population: 7.2%\n", + "5. MedInc, AveOccup: 7.1%\n", + "6. MedInc, Longitude: 5.7%\n", + "7. MedInc, AveRooms: 5.4%\n", + "8. MedInc, Noise: 5.1%\n", + "9. MedInc, AveBedrms: 4.2%\n", "\n" ] } @@ -878,11 +875,11 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [], "source": [ - "save_path = os.path.join(abspath, \"california-housing\", \"data-out-continuous\")\n", + "save_path = os.path.join(\"california-housing\", \"data-out-continuous\")\n", "\n", "handler = ContinuousHandler()\n", "\n", @@ -902,30 +899,22 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ - "with open(os.path.join(abspath, \"california-housing\", \"inputs_cont.yaml\"), \"r\") as f:\n", - " inputs_dict_cont = yaml.safe_load(f)" + "with open(os.path.join(\"california-housing\", \"settings_cont.yaml\"), \"r\") as f:\n", + " settings_cont = yaml.safe_load(f)" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " \r" - ] - } - ], + "outputs": [], "source": [ "for feature in feature_names + [[\"Latitude\", \"Longitude\"]]:\n", - " handler.update(feature, \"MedHouseVal\", inputs_dict_cont)" + " handler.update(feature, \"MedHouseVal\", settings_cont)" ] }, { @@ -937,7 +926,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [ { diff --git a/examples/california-housing/inputs.yaml b/examples/california-housing/settings.yaml similarity index 100% rename from examples/california-housing/inputs.yaml rename to examples/california-housing/settings.yaml diff --git a/examples/california-housing/inputs_cont.yaml b/examples/california-housing/settings_cont.yaml similarity index 100% rename from examples/california-housing/inputs_cont.yaml rename to examples/california-housing/settings_cont.yaml diff --git a/examples/continuous-handler.ipynb b/examples/continuous-handler.ipynb index 70fc93e..a15bd85 100644 --- a/examples/continuous-handler.ipynb +++ b/examples/continuous-handler.ipynb @@ -9,28 +9,249 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "import sys\n", - "import yaml\n", "from typing import Tuple\n", "\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import LogNorm\n", "\n", "sys.path.append(os.path.join(os.path.abspath(\"\"), \"..\"))\n", "\n", - "from infovar import ContinuousHandler, StandardGetter" + "from infovar import ContinuousHandler, StandardGetter, ContinuousHelper" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Context\n", + "\n", + "Imagine you receive a box with two displays showing a numerical value. The box also has three knobs that can be turned to increase or decrease a value.\n", + "\n", + "As it happens, you're not the only one to have received such a box. In fact, 6 of your colleagues have also received a similar box. There's just one detail that sets them apart: on their respective boxes, one or more knobs are hidden. This makes it impossible to read the value of these knobs and turn them. The boxes are as follows, no two identical:\n", + "- 3 boxes with one of the three knobs hidden,\n", + "- 3 boxes with two of the three knobs hidden,\n", + "- your box, with all knobs visible.\n", + "\n", + "When you turn one of the knobs, and put your ear to it, you'll remark that the hidden knobs also turn, a priori randomly. Another important detail is that, even in the case of the box with all the knobs, two similar configurations never give exactly the same value on the screens, even though they are generally quite close.\n", + "\n", + "![Boxes](img/boxes.png)\n", + "\n", + "What you don't know is that these boxes have been sent to you by an impish statistician. The behavior of these boxes is actually governed by a simple non-deterministic mathematical formula:\n", + "\n", + "$$ \\begin{array}{c}y_1\\\\y_2\\end{array} = \\begin{array}{ll} (x_1-x_2)^2 + x_3 + \\varepsilon_1 & \\quad\\text{s.t.}\\quad\\varepsilon_1\\sim\\mathcal{N}(0, 0.05)\\\\x_3^2 + \\varepsilon_2 & \\quad\\text{s.t.}\\quad\\varepsilon_2\\sim \\mathcal{N}(0, 0.1)\\end{array} $$\n", + "\n", + "where $x_i$ is knob number $i$ and $y_j$ is display number $j$." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def function(\n", + " x1: np.ndarray, x2: np.ndarray, x3: np.ndarray\n", + ") -> Tuple[np.ndarray, np.ndarray]:\n", + " \"\"\"\n", + " ci = cursor n°i (between -1 and 1)\n", + " \"\"\"\n", + " assert x1.shape == x2.shape == x3.shape\n", + " assert (\n", + " (np.abs(x1) <= 1).all() and (np.abs(x2) <= 1).all() and (np.abs(x3) <= 1).all()\n", + " )\n", + "\n", + " y1 = (x1 - x2) ** 2 + x3 + np.random.normal(0, 0.05, x1.shape)\n", + " y2 = x3 ** 2 + np.random.normal(0, 0.1, x1.shape)\n", + " return y1, y2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Your goal, and that of each of your colleagues, is to quantify the influence of the knobs on the displayed values. To do this, you will each note the values displayed by the screen, taking into account the known values of the knobs. Knob values will be sampled uniformly between -1 and 1." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getter\n", + "\n", + "In this package, a \"getter\" is a function used to supply data meeting certain constraints. We provide a `StandardGetter` class that allows you to use samples already available and return a certain number via the `get` method. This method will be supplied to the handler." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "n_samples = 500_000\n", + "x1 = np.random.uniform(-1, 1, n_samples)\n", + "x2 = np.random.uniform(-1, 1, n_samples)\n", + "x3 = np.random.uniform(-1, 1, n_samples)\n", + "\n", + "y1, y2 = function(x1, x2, x3)\n", + "\n", + "getter = StandardGetter(\n", + " [\"x1\", \"x2\", \"x3\"],\n", + " [\"y1\", \"y2\"],\n", + " np.column_stack((x1, x2, x3)),\n", + " np.column_stack((y1, y2)),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Continuous handler\n", + "\n", + "The `ContinuousHandler` is a tool that allows you to statistically analyze the influence of knobs on the values displayed on the screen.This class also manages the storage and access of these results." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "handler = ContinuousHandler()\n", + "\n", + "handler.set_path(os.path.join(\"handlers\", \"data\"))\n", + "handler.set_getter(getter.get)\n", + "\n", + "handler.overview()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Remove existing saves if any\n", + "handler.remove(None, \"y1\")\n", + "handler.remove(None, \"y2\")\n", + "\n", + "handler.overview()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# First results" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a1 = np.min(getter.y[:, 0])\n", + "b1 = np.max(getter.y[:, 0])\n", + "\n", + "a2 = np.min(getter.y[:, 1])\n", + "b2 = np.max(getter.y[:, 1])\n", + "\n", + "print(f\"[{a1}, {b1}], [{a2}, {b2}]\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "settings = {\n", + " \"statistics\": [\"mi\"],\n", + " \"windows\": {\n", + " \"features\": [\"y1\", \"y2\"], # Sliding window features\n", + " \"bounds\": [[a1, b1], [a2, b2]], # Sliding window bounds\n", + " \"bounds_include_windows\": True, # The bounds does not correspond to the center of the extreme windows\n", + " \"scale\": \"linear\", # No logarithmic scale\n", + " \"length\": [0.2, 0.2], # A sliding window has a length of 0.2\n", + " \"points\": 25, # Number of sliding window used\n", + " },\n", + " \"min_samples\": 200,\n", + " \"max_samples\": 1_000\n", + "}\n", + "\n", + "for t in [\"y1\", \"y2\"]:\n", + " for v in [\"x1\", \"x2\", \"x3\"]:\n", + " handler.overwrite(v, t, settings)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "data = handler.read(\"x1\", \"y1\", [\"y1\", \"y2\"])\n", + "print(data.keys())\n", + "print(data[\"mi\"].keys())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Number of samples used per sliding window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.figure()\n", + "\n", + "y1, y2 = data[\"mi\"][\"coords\"]\n", + "samples = data[\"mi\"][\"samples\"]\n", + "\n", + "plt.pcolormesh(y1, y2, samples.T, cmap=\"Oranges\", norm=LogNorm(1, None))\n", + "plt.colorbar()\n", + "\n", + "plt.xlabel(\"$y_1$\")\n", + "plt.ylabel(\"$y_2$\")\n", + "plt.title(f\"Number of samples per sliding window\")\n", + "\n", + "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Context" + "### Mutual information maps" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "vmax = {\n", + " \"y1\": 0,\n", + " \"y2\": 0\n", + "}\n", + "for t in [\"y1\", \"y2\"]:\n", + " for v in [\"x1\", \"x2\", \"x3\"]:\n", + " data = handler.read(v, t, [\"y1\", \"y2\"])[\"mi\"]\n", + " vmax[t] = max(vmax[t], np.nanmax(data[\"data\"]))" ] }, { @@ -38,6 +259,81 @@ "execution_count": null, "metadata": {}, "outputs": [], + "source": [ + "for t in [\"y1\", \"y2\"]:\n", + "\n", + " plt.figure(figsize=(3*6.4, 4.8))\n", + " for i, v in enumerate([\"x1\", \"x2\", \"x3\"], 1):\n", + " data = handler.read(v, t, [\"y1\", \"y2\"])[\"mi\"]\n", + "\n", + " y1, y2 = data[\"coords\"]\n", + " mi = data[\"data\"]\n", + "\n", + " plt.subplot(1, 3, i)\n", + "\n", + " plt.pcolormesh(y1, y2, mi.T, cmap=\"inferno\", vmin=0, vmax=vmax[t])\n", + " plt.colorbar()\n", + " \n", + " plt.xlabel(\"$y_1$\")\n", + " plt.ylabel(\"$y_2$\")\n", + " plt.title(f\"Information map for {v} and {t}\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparison with other metrics" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# Work in progress" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Influence of combined knobs" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# Work in progress" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Most informative knob selection" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# Work in progress" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], "source": [ "# Work in progress" ] diff --git a/examples/discrete-handler.ipynb b/examples/discrete-handler.ipynb index b1f8179..5f08c32 100644 --- a/examples/discrete-handler.ipynb +++ b/examples/discrete-handler.ipynb @@ -9,13 +9,14 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "import os\n", "import sys\n", "import yaml\n", + "import itertools as itt\n", "from typing import Tuple\n", "\n", "import numpy as np\n", @@ -23,7 +24,7 @@ "\n", "sys.path.append(os.path.join(os.path.abspath(\"\"), \"..\"))\n", "\n", - "from infovar import DiscreteHandler, StandardGetter" + "from infovar import DiscreteHandler, StandardGetter, prob_higher" ] }, { @@ -41,16 +42,11 @@ "\n", "When you turn one of the knobs, and put your ear to it, you'll remark that the hidden knobs also turn, a priori randomly. Another important detail is that, even in the case of the box with all the knobs, two similar configurations never give exactly the same value on the screens, even though they are generally quite close.\n", "\n", - "*TODO: insert images*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ + "![Boxes](img/boxes.png)\n", + "\n", "What you don't know is that these boxes have been sent to you by an impish statistician. The behavior of these boxes is actually governed by a simple non-deterministic mathematical formula:\n", "\n", - "$$ \\begin{array}{c}s_1\\\\s_2\\end{array} = \\begin{array}{ll} (c_1-c_2)^2 + c_3 + \\varepsilon_1 & \\quad\\text{s.t.}\\quad\\varepsilon_1\\sim\\mathcal{N}(0, 0.05)\\\\\\mathrm{e}^{c_3} + \\varepsilon_2 & \\quad\\text{s.t.}\\quad\\varepsilon_2\\sim \\mathcal{N}(0, 0.1)\\end{array} $$\n", + "$$ \\begin{array}{c}y_1\\\\y_2\\end{array} = \\begin{array}{ll} (x_1-x_2)^2 + x_3 + \\varepsilon_1 & \\quad\\text{s.t.}\\quad\\varepsilon_1\\sim\\mathcal{N}(0, 0.05)\\\\x_3^2 + \\varepsilon_2 & \\quad\\text{s.t.}\\quad\\varepsilon_2\\sim \\mathcal{N}(0, 0.1)\\end{array} $$\n", "\n", "where $x_i$ is knob number $i$ and $y_j$ is display number $j$." ] @@ -73,7 +69,7 @@ " )\n", "\n", " y1 = (x1 - x2) ** 2 + x3 + np.random.normal(0, 0.05, x1.shape)\n", - " y2 = x1 + np.random.normal(0, 0.1, x1.shape)\n", + " y2 = x3 ** 2 + np.random.normal(0, 0.1, x1.shape)\n", " return y1, y2" ] }, @@ -81,7 +77,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Votre objectif, ainsi que chacun de vos collègue, est dans la mesure du possible suivant sa boîte, d'essayer de quantifier l'influence des curseurs sur les valeurs affichées par l'écran. Pour cela, vous allez chacun noter les valeurs affichées par l'écran compte tenu des valeurs connues des curseurs. Les valeurs des curseurs seront échantillonnées uniformément entre -1 et 1." + "Your goal, and that of each of your colleagues, is to quantify the influence of the knobs on the displayed values. To do this, you will each note the values displayed by the screen, taking into account the known values of the knobs. Knob values will be sampled uniformly between -1 and 1." ] }, { @@ -90,7 +86,7 @@ "source": [ "## Getter\n", "\n", - "TODO" + "In this package, a \"getter\" is a function used to supply data meeting certain constraints. We provide a `StandardGetter` class that allows you to use samples already available and return a certain number via the `get` method. This method will be supplied to the handler." ] }, { @@ -99,7 +95,7 @@ "metadata": {}, "outputs": [], "source": [ - "n_samples = 10_000\n", + "n_samples = 50_000\n", "x1 = np.random.uniform(-1, 1, n_samples)\n", "x2 = np.random.uniform(-1, 1, n_samples)\n", "x3 = np.random.uniform(-1, 1, n_samples)\n", @@ -120,24 +116,59 @@ "source": [ "## Discrete handler\n", "\n", - "Le `DiscreteHandler` est l'outil qui va vous permettre d'analyser statistiquement l'influence des curseurs sur les valeurs affichées sur l'écran." + "The `DiscreteHandler` is a tool that allows you to statistically analyze the influence of knobs on the values displayed on the screen.This class also manages the storage and access of these results." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DiscreteHandler\n", + "Save path: handlers\n", + "No existing saves.\n" + ] + } + ], "source": [ "handler = DiscreteHandler()\n", "\n", - "handler.set_path(\"handlers\")\n", - "handler.set_getter(getter.get)" + "handler.set_path(os.path.join(\"handlers\", \"data\"))\n", + "handler.set_getter(getter.get)\n", + "\n", + "handler.overview()" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DiscreteHandler\n", + "Save path: handlers\n", + "No existing saves.\n" + ] + } + ], + "source": [ + "# Remove existing saves if any\n", + "handler.remove(\"y1\")\n", + "handler.remove(\"y2\")\n", + "\n", + "handler.overview()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -147,100 +178,556 @@ "handler.set_restrictions(restrictions)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## First results" + ] + }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "handler.remove([\"y1\"])" + "settings = {\"restrictions\": [\"all\"], \"min_samples\": 200, \"max_samples\": 10_000, \"statistics\": [\"mi\"]}\n", + "\n", + "for s in [\"y1\", \"y2\"]:\n", + " for c in [\"x1\", \"x2\", \"x3\"]:\n", + " handler.overwrite(c, s, settings)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "DiscreteHandler\n", + "Save path: handlers\n", + "Existing saves:\n", + "y1.json\n", + "y2.json\n" + ] + } + ], + "source": [ + "handler.overview() # Shows that save files has been created." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for screen in [1, 2]:\n", + "\n", + " items = handler.read([\"x1\", \"x2\", \"x3\"], f\"y{screen}\", \"all\", iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.xticks(xticks, [\"x1\", \"x2\", \"x3\"])\n", + " plt.title(\"Mutual information between knobs and $y_1$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "print(\"Existing saves:\")\n", - "for file in handler.get_existing_saves():\n", - " print(file)" + "## Adding error bars" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "inputs_dict = {\"restrictions\": [\"all\"], \"min_samples\": 200, \"statistics\": [\"mi\"]}\n", + "settings = {\n", + " \"restrictions\": [\"all\"], \"min_samples\": 200, \"max_samples\": 10_000, \"statistics\": [\"mi\"],\n", + " \"uncertainty\": {\"mi\": {\"name\": \"subsampling\"}}\n", + "}\n", "\n", "for s in [\"y1\", \"y2\"]:\n", " for c in [\"x1\", \"x2\", \"x3\"]:\n", - " handler.overwrite(c, s, inputs_dict)" + " handler.overwrite(c, s, settings)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "handler.overwrite.__annotations__" + "for screen in [1, 2]:\n", + "\n", + " items = handler.read([\"x1\", \"x2\", \"x3\"], f\"y{screen}\", \"all\", iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + " stds = [item[\"mi\"][\"std\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.errorbar(xticks, mis, yerr=stds, fmt=\"none\", capsize=20, color=\"tab:red\")\n", + " plt.xticks(xticks, [\"x1\", \"x2\", \"x3\"])\n", + " plt.title(f\"Mutual information between knobs and $y_{screen}$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Comparison with other metrics\n", + "\n", + "In this section, we compute the Pearson correlation coefficient to compare with mutual information." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "print(\"Existing saves:\")\n", - "for file in handler.get_existing_saves():\n", - " print(file)" + "settings = {\n", + " \"restrictions\": [\"all\"], \"min_samples\": 200, \"max_samples\": 10_000, \"statistics\": [\"corr\"],\n", + " \"uncertainty\": {\"corr\": {\"name\": \"bootstrapping\"}}\n", + "}\n", + "\n", + "for s in [\"y1\", \"y2\"]:\n", + " for c in [\"x1\", \"x2\", \"x3\"]:\n", + " handler.overwrite(c, s, settings)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for screen in [1, 2]:\n", + "\n", + " items = handler.read([\"x1\", \"x2\", \"x3\"], f\"y{screen}\", \"all\", iterable_x=True)\n", + " mis = [item[\"corr\"][\"value\"] for item in items]\n", + " stds = [item[\"corr\"][\"std\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.errorbar(xticks, mis, yerr=stds, fmt=\"none\", capsize=20, color=\"tab:red\")\n", + " plt.xticks(xticks, [\"x1\", \"x2\", \"x3\"])\n", + " plt.title(f\"Pearson correlation coefficient between knobs and $y_{screen}$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "items = handler.read([\"x1\", \"x2\", \"x3\"], \"y1\", \"all\", iterable_x=True)\n", - "mis = [item[\"mi\"][\"value\"] for item in items]\n", + "We can see that the results are very different. This is notably due to the presence of square functions in the formulas.\n", "\n", - "plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "The correlation coefficient can't capture all the statistical dependence if it's non-linear. For even relationships such as the square function, the correlation coefficient may even be zero, even though there is statistical dependence." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Influence of combined knobs" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[y1]: 100%|██████████| 7/7 [00:03<00:00, 1.94it/s, x=[x3, x2, x1]]\n", + "[y2]: 100%|██████████| 7/7 [00:03<00:00, 1.89it/s, x=[x3, x2, x1]]\n" + ] + } + ], + "source": [ + "settings = {\n", + " \"restrictions\": [\"all\"], \"min_samples\": 200, \"max_samples\": 10_000, \"statistics\": [\"mi\"],\n", + " \"uncertainty\": {\"mi\": {\"name\": \"subsampling\"}}\n", + "}\n", "\n", - "plt.bar(np.arange(len(mis)), mis)\n", - "plt.xticks(np.arange(len(mis)), [\"x1\", \"x2\", \"x3\"])\n", - "plt.title(\"Mutual information (bits)\")\n", + "variables = [\"x1\", \"x2\", \"x3\"]\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 2))\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 3))\n", "\n", - "plt.show()" + "for s in [\"y1\", \"y2\"]:\n", + " handler.overwrite(variables, s, settings, iterable_x=True)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for screen in [1, 2]:\n", + "\n", + " items = handler.read(variables, f\"y{screen}\", \"all\", iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + " stds = [item[\"mi\"][\"std\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.errorbar(xticks, mis, yerr=stds, fmt=\"none\", capsize=10, color=\"tab:red\")\n", + " plt.xticks(xticks, variables, rotation=45, horizontalalignment=\"right\")\n", + " plt.title(f\"Mutual information between knobs and $y_{screen}$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The mutual information provided by knowing all three knobs simultaneously gives less information than knowing just two of them. This result runs counter to information theory, since knowledge of an additional variable should not reduce mutual information. In the worst case, this variable is independent of the data of interest, so the information gain is zero.\n", + "\n", + "In fact, this is only a consequence of the `max_samples` sample limitation. This parameter limits calculation time by avoiding the use of all available samples. However, when the number of combined variables becomes large, more samples are needed to estimate the mutual information without bias." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Computation with more samples\n", + "\n", + "In this section, we set the `max_sample`parameter to None, which means that all available data is used. Note that in general, this is a bad practice, since using all available data can lead to very long calculation times for negligible gains in accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[y1]: 100%|██████████| 7/7 [00:00<00:00, 456.11it/s, x=[x3, x2, x1]]\n", + "[y2]: 100%|██████████| 7/7 [00:00<00:00, 430.99it/s, x=[x3, x2, x1]]\n" + ] + } + ], + "source": [ + "settings = {\n", + " \"restrictions\": [\"all\"], \"min_samples\": 200, \"max_samples\": None, \"statistics\": [\"mi\"],\n", + " \"uncertainty\": {\"mi\": {\"name\": \"subsampling\"}}\n", + "}\n", + "\n", + "variables = [\"x1\", \"x2\", \"x3\"]\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 2))\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 3))\n", + "\n", + "for s in [\"y1\", \"y2\"]:\n", + " handler.update(variables, s, settings, iterable_x=True) # Update to avoid recalculating result for indivual variables" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for screen in [1, 2]:\n", + "\n", + " items = handler.read(variables, f\"y{screen}\", \"all\", iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + " stds = [item[\"mi\"][\"std\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.errorbar(xticks, mis, yerr=stds, fmt=\"none\", capsize=10, color=\"tab:red\")\n", + " plt.xticks(xticks, variables, rotation=45, horizontalalignment=\"right\")\n", + " plt.title(f\"Mutual information between knobs and $y_{screen}$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Restrictions on screen values\n", + "\n", + "In this section, we set up a case distinction. We want to know whether knobs can be used to constrain the values of the first screen if the latter is positive or negative. Are some knobs more important in one case than the other?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[y1]: 100%|██████████| 7/7 [00:19<00:00, 2.76s/it, x=[x3, x2, x1]]\n", + "[y2]: 100%|██████████| 7/7 [00:22<00:00, 3.27s/it, x=[x3, x2, x1]]\n" + ] + } + ], "source": [ - "items = handler.read([\"x1\", \"x2\", \"x3\"], \"s2\", \"all\", iterable_x=True)\n", - "mis = [item[\"mi\"][\"value\"] for item in items]\n", + "settings = {\n", + " \"restrictions\": [\"positive_1\", \"negative_1\"], \"min_samples\": 200, \"max_samples\": None, \"statistics\": [\"mi\"],\n", + " \"uncertainty\": {\"mi\": {\"name\": \"subsampling\"}}\n", + "}\n", "\n", - "plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "variables = [\"x1\", \"x2\", \"x3\"]\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 2))\\\n", + " + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 3))\n", "\n", - "plt.bar(np.arange(len(mis)), mis)\n", - "plt.xticks(np.arange(len(mis)), [\"x1\", \"x2\", \"x3\"])\n", + "for s in [\"y1\", \"y2\"]:\n", + " handler.overwrite(variables, s, settings, iterable_x=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for restr in [\"positive_1\", \"negative_1\"]:\n", + "\n", + " items = handler.read(variables, \"y1\", restr, iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + " stds = [item[\"mi\"][\"std\"] for item in items]\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, mis)\n", + " plt.errorbar(xticks, mis, yerr=stds, fmt=\"none\", capsize=10, color=\"tab:red\")\n", + " plt.xticks(xticks, variables, rotation=45, horizontalalignment=\"right\")\n", + " if restr.startswith(\"positive\"):\n", + " plt.title(f\"Mutual information between knobs and $y_1$ for $y_1 > 0$ (bits)\")\n", + " else:\n", + " plt.title(f\"Mutual information between knobs and $y_1$ for $y_1 < 0$ (bits)\")\n", + "\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It can be seen that higher amounts of information are achieved when the value is negative than when it is positive, which means that on average it will be simpler to constrain the possible values of the screen when it is negative than when it is positive.\n", "\n", - "plt.show()" + "We also note that the couple $(x_1, x_2)$ is not very informative in the case of a positive screen value, but rather informative in the opposite case." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Probability of a set of knobs to be the most informative one" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "variables = [\"x1\", \"x2\", \"x3\"] + list(itt.combinations([\"x1\", \"x2\", \"x3\"], 2))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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6lLTc4paji7H9TV+LFi2CpaUlRo0aBQcHBwwYMMDgeRgTo77919B8AYZvS7o+j77rW5fS9vXSLr+0DF2fJa0jU19+XN7bkL707ZeG5qtv377YsGEDDh8+jN9//x1CCK3v5NL2p4rOX0BAAHbt2oXbt2/j008/xXvvvVfovjyaAsOQ4Rb+/v4Anl4FVVwRN3v2bNSqVQsDBw4EACQmJuKll16SXvf29tZ5l+r4+HjUq1dP73iASvIzCRYWFnjttdewc+dOrUPlycnJiI6ORuvWrXUexl+2bJnWc83oas2Gb2FhUaiKXbp0KfLy8nTGUdL8SsPOzg4AdO4EqlWrhk6dOmHz5s2IiopCx44dCx12NXSe+jIkR/ouLy8vr9ChX3d3d3h7e0u3vbawsEDPnj3x7bffal0iqXHv3r0Sl6vPcnQxtr/pS6FQYPXq1ejVqxcGDx6MXbt2GTwPY2Isqf8amy9NPIZsS7rer+/61qW0fb20yy8tfdenvuuoLLb90ijvbciQOPTpl4bmKyQkBC4uLti6dSu2bt2KwMBArX8YStufKjp/zZs3h1qtxoABAyCEwMyZM8tkvpqrc3/55Zcip7l27Rq++uorfPHFF1Jx6eHhgbi4OGma33//HZ6enoXee+7cObz88ssGxVQpjtQAwNy5c3Hw4EG0bt0ao0aNgqWlJVatWoWsrCwsXLhQ53vi4+PRtWtXdOzYEadOncLmzZsxYMAANG7cGADwxhtvYNOmTVCpVKhfvz5OnTqFQ4cOFbq8XN/5lUazZs0AADNnzkS/fv1gZWWFLl26SBvboEGD0KtXLwDAnDlzymSe+jAkR/ou79GjR6hRowZ69eqFxo0bw97eHocOHcKZM2e0/qOKiIjAkSNH0KJFC4wYMQL169dHSkoKzp07h0OHDiElJaXY5ebk5Oi1HF2M6W+GUCqV2Lx5M7p3744+ffpg79690j2b9GVojCX1X33Xiy6Gbku66Lu+dSmLvl6a5ZcFfdanvuuoLPJREZ+nvOnbLw3Nl5WVFd58801s2bIFjx8/xqefflpomtL2p4rMn2ZIyIkTJxAeHm7U5f+6PPfcc2jYsCEOHTqEYcOG6ZxmwoQJ6Nu3LwIDA6W2Xr16oVu3bvjggw8AALt378YPP/yg9b6zZ88iJSUF3bp1Mywog66VKobmsrgzZ84UO13+y14LOnfunAgNDRX29vaiatWq4pVXXhEnT54sch5XrlwRvXr1Eg4ODsLZ2VmMGTNGPHnyRJru4cOHYujQoaJatWrC3t5ehIaGiri4OFGzZk2tywL1nV/+z2noJd1CCDFnzhxRvXp1oVQqC72elZUlnJ2dhUqlKrTM4hQ1z6LyXDA2fXOkz2fI/1mmTJkiGjduLBwcHISdnZ1o3LixWL58eaFpk5OTxejRo4WPj4+wsrISnp6eokOHDmL16tUlLteQ5eiiT38z9pJujYyMDNG2bVthb28vYmNji5xOCN39Rp8Y9e2/pcmXoduSru1bCP3Xty6l7eulXX5Ryxk8eLCws7MrNH3btm1FgwYNtNpKWp+GrCN9tsWicmFIzorbBgzpn7r6RGlzasj3V1H5Kur7+uDBgwKAUCgUIiEhoVAsQpSuPwlRuvwVFXdR/Pz8hJubW6HLrwsaOXJkibcTyW/x4sXC3t5e5yXse/bsEfb29iIxMbHQa/Pnzxfe3t7Cy8tLLFiwoNDr06ZNE76+vkKtVusdixBCKIQohxFhZLDc3Fx4e3ujS5cuWLt2ranDISIimbhx4wZeeOEFLF68GGPHji122nfffReenp56XwGVlpaG5557DgsXLtS6BL80srKy4Ofnh+nTp2PcuHEGvbdSjKkh4Pvvv8e9e/cwaNAgU4dCREQyMmPGDPj5+RV7r6Dc3FxkZmYiLy9P6++SqFQqTJ06FYsWLSrVFbP5RUZGwsrKqth4i8IjNSZ2+vRpXLhwAXPmzEG1atVKfQMyIiKi1NRUxMTE4OjRo1izZg1iYmJ03jNOIzw8HB9//LFWW2RkJIYMGVLOkZYtFjUmNmTIEGzevBlNmjTB+vXrtW6GREREZIxvv/0WvXr1Qo0aNfDRRx9hxIgRpg6pQrCoISIiIlngmBoiIiKSBRY1REREJAuV5uZ7Gmq1GomJiXBwcDD5rcCJiIhIP0IIPHr0CN7e3lAqTXPMpNIVNYmJiRXymyFERERU9hISElCjRg2TLLvSFTWaX/pMSEiokN8OISIiotJLT0+Hj49Psb/YXd4qXVGjOeXk6OjIooaIiOgZY8qhIxwoTERERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkC5Xu6iciIjKc3/Q9pg7BJG5GdDZ1CFSJ8EgNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEsGFzU3LlzB2FhYXB1dYWtrS1efPFF/PLLL9LrQgh89NFH8PLygq2tLUJCQvDHH3+UadBEREREBRlU1Dx8+BCtWrWClZUVYmJicOXKFXz22WdwdnaWplm4cCG+/PJLrFy5EqdPn4adnR1CQ0ORmZlZ5sETERERaRh0n5oFCxbAx8cHkZGRUlutWrWkv4UQ+Pzzz/Gf//wH3bp1AwBs3LgRHh4e+P7779GvX78yCpuIiIhIm0FHanbt2oXmzZujd+/ecHd3x0svvYQ1a9ZIr8fHxyMpKQkhISFSm0qlQosWLXDq1Cmd88zKykJ6errWg4iIiMhQBhU1N27cwIoVK1CnTh3s378f7733HsaOHYsNGzYAAJKSkgAAHh4eWu/z8PCQXito/vz5UKlU0sPHx8eYz0FERERmzqCiRq1Wo2nTppg3bx5eeuklvPPOOxgxYgRWrlxpdAAzZsxAWlqa9EhISDB6XkRERGS+DCpqvLy8UL9+fa22evXq4fbt2wAAT09PAEBycrLWNMnJydJrBVlbW8PR0VHrQURERGQog4qaVq1a4erVq1pt165dQ82aNQE8HTTs6emJw4cPS6+np6fj9OnTCAoKKoNwiYiIiHQz6OqnCRMm4OWXX8a8efPQp08f/Pzzz1i9ejVWr14NAFAoFBg/fjzmzp2LOnXqoFatWvjwww/h7e2N7t27l0f8RERERAAMLGoCAgKwY8cOzJgxA7Nnz0atWrXw+eefY+DAgdI0U6dOxePHj/HOO+8gNTUVrVu3xr59+2BjY1PmwRMRERFpKIQQwtRB5Jeeng6VSoW0tDSOryEi0pPf9D2mDsEkbkZ0NnUI9D+VYf/N334iIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLAooaIiIhkgUUNERERyUKpipqIiAgoFAqMHz9easvMzMTo0aPh6uoKe3t79OzZE8nJyaWNk4iIiKhYRhc1Z86cwapVq9CoUSOt9gkTJmD37t3Ytm0bjh07hsTERLz55pulDpSIiIioOEYVNf/88w8GDhyINWvWwNnZWWpPS0vD2rVrsXjxYrRv3x7NmjVDZGQkTp48idjY2DILmoiIiKggo4qa0aNHo3PnzggJCdFqP3v2LHJycrTa/f394evri1OnTumcV1ZWFtLT07UeRERERIayNPQNW7Zswblz53DmzJlCryUlJaFKlSpwcnLSavfw8EBSUpLO+c2fPx8ff/yxoWEQERERaTHoSE1CQgLGjRuHqKgo2NjYlEkAM2bMQFpamvRISEgok/kSERGReTGoqDl79izu3r2Lpk2bwtLSEpaWljh27Bi+/PJLWFpawsPDA9nZ2UhNTdV6X3JyMjw9PXXO09raGo6OjloPIiIiIkMZdPqpQ4cOuHjxolbb0KFD4e/vj2nTpsHHxwdWVlY4fPgwevbsCQC4evUqbt++jaCgoLKLmoiIiKgAg4oaBwcHNGzYUKvNzs4Orq6uUvvw4cMxceJEuLi4wNHREe+//z6CgoLQsmXLsouaiIiIqACDBwqXZMmSJVAqlejZsyeysrIQGhqK5cuXl/ViiIiIiLQohBDC1EHkl56eDpVKhbS0NI6vISLSk9/0PaYOwSRuRnQ2dQj0P5Vh/83ffiIiIiJZYFFDREREslDmY2qIiIieFTxtJy88UkNERESywKKGiIiIZIFFDREREckCixoiIiKSBRY1REREJAssaoiIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiIiIZIFFDREREckCixoiIiKSBRY1REREJAssaoiIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiIiIZIFFDREREckCixoiIiKSBRY1REREJAssaoiIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiIiIZIFFDREREckCixoiIiKSBRY1REREJAssaoiIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiIiIZIFFDREREckCixoiIiKSBRY1REREJAssaoiIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiIiIZMGgomb+/PkICAiAg4MD3N3d0b17d1y9elVrmszMTIwePRqurq6wt7dHz549kZycXKZBExERERVkUFFz7NgxjB49GrGxsTh48CBycnLw2muv4fHjx9I0EyZMwO7du7Ft2zYcO3YMiYmJePPNN8s8cCIiIqL8LA2ZeN++fVrP169fD3d3d5w9exZt2rRBWloa1q5di+joaLRv3x4AEBkZiXr16iE2NhYtW7Ysu8iJiIiI8inVmJq0tDQAgIuLCwDg7NmzyMnJQUhIiDSNv78/fH19cerUKZ3zyMrKQnp6utaDiIiIyFBGFzVqtRrjx49Hq1at0LBhQwBAUlISqlSpAicnJ61pPTw8kJSUpHM+8+fPh0qlkh4+Pj7GhkRERERmzOiiZvTo0bh06RK2bNlSqgBmzJiBtLQ06ZGQkFCq+REREZF5MmhMjcaYMWPwww8/4Pjx46hRo4bU7unpiezsbKSmpmodrUlOToanp6fOeVlbW8Pa2tqYMIiIiIgkBh2pEUJgzJgx2LFjB3788UfUqlVL6/VmzZrBysoKhw8fltquXr2K27dvIygoqGwiJiIiItLBoCM1o0ePRnR0NHbu3AkHBwdpnIxKpYKtrS1UKhWGDx+OiRMnwsXFBY6Ojnj//fcRFBTEK5+IiIioXBlU1KxYsQIA0K5dO632yMhIDBkyBACwZMkSKJVK9OzZE1lZWQgNDcXy5cvLJFgiIiKiohhU1AghSpzGxsYGy5Ytw7Jly4wOioiIiMhQ/O0nIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZYFFDREREssCihoiIiGSBRQ0RERHJAosaIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZYFFDREREssCihoiIiGSBRQ0RERHJAosaIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZYFFDREREssCihoiIiGSBRQ0RERHJAosaIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZYFFDREREssCihoiIiGSBRQ0RERHJAosaIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZYFFDREREssCihoiIiGSBRQ0RERHJAosaIiIikgUWNURERCQLLGqIiIhIFljUEBERkSywqCEiIiJZKLeiZtmyZfDz84ONjQ1atGiBn3/+ubwWRURERFQ+Rc3WrVsxceJEzJo1C+fOnUPjxo0RGhqKu3fvlsfiiIiIiGBZHjNdvHgxRowYgaFDhwIAVq5ciT179mDdunWYPn261rRZWVnIysqSnqelpQEA0tPTyyM0IiJZUmdlmDoEkyjtvoJ5K/t5CiHKfN56E2UsKytLWFhYiB07dmi1Dxo0SHTt2rXQ9LNmzRIA+OCDDz744IMPGTwSEhLKurTQW5kfqbl//z7y8vLg4eGh1e7h4YG4uLhC08+YMQMTJ06UnqvVaqSkpMDV1RUKhaKswzOZ9PR0+Pj4ICEhAY6OjqYO55nBvBmOOTMO82Yc5s04csybEAKPHj2Ct7e3yWIol9NPhrC2toa1tbVWm5OTk2mCqQCOjo6y6cAViXkzHHNmHObNOMybceSWN5VKZdLll/lA4WrVqsHCwgLJycla7cnJyfD09CzrxREREREBKIeipkqVKmjWrBkOHz4stanVahw+fBhBQUFlvTgiIiIiAOV0+mnixIkYPHgwmjdvjsDAQHz++ed4/PixdDWUObK2tsasWbMKnWqj4jFvhmPOjMO8GYd5Mw7zVj4UQpTPtVdfffUVFi1ahKSkJDRp0gRffvklWrRoUR6LIiIiIiq/ooaIiIioIvG3n4iIiEgWWNQQERGRLLCoISIiIllgUUNERESywKKGiGSP10MYjjmjZ5HJfyaBiAwnhJDVb6OVhwMHDiAxMRH+/v5o2bKl1M7cFY05M05MTAxsbW3h7u6O+vXrmzocs8YjNaWkVqtNHcIzJTc3F1lZWVpt/I+wZP/88w8ePHiAlJQUAIBCoWDeSnDmzBmcOHECoaGhGDlyJDZv3gyAuSsOc2acPXv2YOnSpWjXrh1mzpyJo0ePmjoks8X71Bjh5s2bOHr0KMLCwmBpaQm1Wg2lkvVhSeLi4rBo0SLExcWhYcOG6NmzJ1577TVTh1XpXb58GZMmTcKtW7fg6emJfv36YeTIkaYOq1LSdUTh9OnTWL58OX777Tc0btwYGzZsKHJac8ScGadgLnJzc3Hw4EFERERACIHWrVtj3rx5JozQPLGoMdC1a9fQokULuLi4YPLkyRgxYgQLGz1cvnwZr7zyCjp37gwvLy8cPHgQ1apVw/r16+Hh4WHq8Cqty5cvIzg4WPrZkZiYGPz999/4/vvv4eDgAIA7moKys7Nx/vx5rTuY379/H4cPH8a4cePQtGlT7N27FwBzp8GcGSc7Oxt//fUXnnvuOant1q1b2LJlC77++msEBwdj3bp1JozQDAnSW0pKinj99ddFz549RZ8+fURQUJBYtmyZyMnJEUIIkZeXZ+IIK6ekpCQREBAgJkyYILXdunVL2Nvbiy1btpgwssrtzp07on79+mLatGlS24kTJ0RoaKi4ceOG+Pvvv6V29r2n1Gq1+PDDD0XPnj3FkSNHtF7LyckRR48eFV5eXiIsLMw0AVZCzJlx8vLyxPDhw8XIkSNFXFyc1mupqali/fr14rnnnhPTp083UYTmiYcWDJCXl4fatWtj+PDhWLNmDWrXro3Nmzdj9erVyM3NhVKp1DrvLHgQDABw8eJF1KhRA4MHDwYA5OTkwNfXF23btsXDhw8BMFe63LlzB926dcOIESOktpiYGJw7dw7BwcHo0qUL+vfvDwA8Svg/CoUC3bt3h0qlQnR0NPbt2ye9ZmlpidatW+OLL77AxYsXERkZacJIKw/mzDhKpRIDBw7E9evXERkZiUuXLkmvqVQq9OjRAyNHjsSJEydw6NAhE0ZqXvhNqCchBKpVq4YPP/wQnTp1gqOjI5YuXSoVNqtWrUJeXh4UCgVycnIAwOwP0WoKFX9/f4SEhKBx48YAnn5RAk/zk5iYKP1NT2ny1qRJE4wcORK1a9cGACxYsACfffYZPvvsM2zZsgXjx49HbGwsVqxYYcpwTUrXQP2mTZti7NixSEpKwtWrV7Ves7CwQLt27dC8eXOcOHGiosKsVIrK2fvvv8+cFUNX3l555RV89NFH2L17N37++Wet1xwdHdGnTx8oFArs37+/osI0exxTY4CzZ8/Cy8sL3t7eyM7ORpUqVZCWlobRo0fjxo0bCAsLw+DBgzFz5kwolUosXrzY1CFXCnFxcXB0dIS3tzfy8vJgYWEBAOjWrRv8/f2xYMECAMCKFStgZ2eHQYMGmTLcSuP8+fPw8PCAt7c3AODbb7+FSqVCSEgIACA9PR0tW7ZEr169MHv2bFOGahKavpSZmYnY2FgkJiYiMDAQvr6+qFKlCuLj41GrVi2d7/3555/Rpk0b7N+/H23btq3gyE1Hk7OMjAxs2rQJ9+7dQ+3atdG1a1fY2dkxZ0XQ5O3JkyfYs2cPkpOT0bRpU7z00kuwsbHB5cuX0aBBA633iP+NPTp06BB69eqF48ePo1GjRib6BGbEZCe+njGpqanCzs5ObN68WWrTjGNIS0sTYWFholWrViIwMFDY2tqKX375xVShViqavG3atElqU6vVQgghhgwZIubPny+EEOKDDz4QVlZW4sqVKyaJs7LR1d/yU6vV4p9//hGdOnUS69atk9rMhWbbS09PF02bNhWBgYHC2tpaNG/eXKxdu1bk5eVJ+Sg43kjzfMyYMeLrr7+u2MBNKP/3Vf369UX79u1F3bp1RUBAgFi6dKlQq9XMmQ7589aoUSPRunVr4eLiIgICAsTevXu1ps3NzdV6rlarRXZ2tujdu7eIiYmpsJjNGU8/6cnGxgb16tWTTi0BT8+pqtVqODo6YvHixbh58yb++OMPxMbGolmzZiaMtvLQ5C03N1dq05xqyszMhEKhwNy5c7FkyRKcOnUK9erVM1WolUrB/iaE0Bp3pFAoEBERgatXr6J9+/ZSm7lQKpXIyMhA+/btUbduXezYsQN37txBrVq1sHHjRiiVSikfBccbaZ4HBwdLp0LNgVKpxOPHj9G2bVs0atQIP/zwA86dOwd3d3f8+eefUCgUUs5EgQP45poz4N+8tW7dGvXr18euXbsQHx8vHSEsjkKhgJWVFdq2bYu///67giI2bzz9VATxv0OHmZmZsLGxAQAMHToUOTk52Lx5s7ST0Xy5jhs3Dlu2bMGpU6fQsGFDE0dvOobkrW/fvti2bRtsbW1x/Phxsy4E9ckb8PRL8vTp04iOjsamTZvw448/okmTJiaM3DSEEFi6dCn27t2LtWvXonr16gCAq1evIigoCP/3f/9X6HSALhkZGahatWp5h1spCCHw+eef49ChQ9i4cSOcnZ2hVCoRHh6OW7duwcnJCR4eHhg5ciScnZ2LvE2FOeUMeDqWZs6cOTh79iw2btwIBwcHWFhYYPLkyahSpQqsra3xwgsvoHPnznB0dNTKm8h3+fvjx49hZ2dnyo9iFsyr5DaAQqHAvn37EBERAXt7ewQHB+PmzZvw9vZGZmYmLCwsYGVlBQCoWrUqUlJScPDgQbMuaADD8ubm5obq1asjJiaGeTMgbwcOHMCdO3dw7NgxvPjiiyaO3DQ0RV5wcDA8PT2ldjs7OygUCmRkZBR6j66dtDntnBUKBdq3b4/AwECpoNm+fTtmz56NAQMGID4+HrGxsdixYwd+/PHHInfA5pQzjVatWqFDhw5QqVRQKBTYtm0bFi9ejB49eiAxMRF79uzB999/j40bN8La2lp6X/6jpyxoKgaP1BTj+PHjiI2Nxfnz55Gbm4vY2FjcuXMHr776KhITE9G2bVvY2tpi0KBBZrtz0UWfvHl5ecHNzQ0hISFaN64yZ/rmrWHDhmjbti2cnJxMHbJJaIqTjIwMKJVK2NjYaB3pCggIwNatW6Xf4Ll48SKef/552Nramjhy09HkLP+Rg9TUVAQGBmLMmDEYO3YsAGDfvn0YMWIENm7ciFdeecWUIVcKmrxprmxVKpW4e/cuGjRogA8++ABjx46FhYUFli9fjiVLlmDnzp387ScT45GaYrRp0wZt2rSRnh8+fBi9evXCa6+9hn/++Uf6uQTesl5bSXmLj49HVFQUYmJiULNmTRNGWrnok7fo6Gj88MMPZlvQaE5dJiYmws7ODiqVSusITE5ODtLT05Geng4A2LBhA8LDw7F7926zPRqoyVlSUhJsbGzg5OQEIQScnJwQGxsLFxcXKYdubm6wtLQ02/6VnyZv9+/fR7Vq1aQ2d3d3XLhwAV5eXtJl3vXr18eTJ0+ko6lkOixqSqD5zyY3Nxd+fn7w8PBAaGio9AWZ/xJl+hfzZhzmrXgKhQKPHj1CkyZNsHLlSrz55ptap5Sys7ORnp4OGxsbbN26FUOHDsXGjRvNtqAB/s1Zo0aNsGLFCvTs2VM6WuPs7Azg34HAp0+fhpubm7QTN2cKhQIpKSlo0KAB/vvf/6Jt27ZS3jSnPDV5O3/+PGrXrg2VSmWyeOkpXv1UAk0ntrS0RO3ataFUKnH8+HEA/1byVBjzZhzmrWS2trbw9fWVrqjLfwZdc9XYhg0bMHDgQGzevBlhYWFmf8dqTc7y8vIAQGvgOfD0nkdr1qzBtGnT8MEHH8DHx8dksVYmeXl5cHR0lI7AFMxbVlYW1q5di1mzZmHSpElwd3c3Waz0FL8h9aTpzPb29lp3wTWny2iNwbwZh3n7l2ZHrDnUb2lpCS8vL63b+WvylZmZibi4OHzxxReIjo7GgAEDzLKgMSRnv/zyC+bMmYM5c+Zg3bp16N69u1nmDPg3bxpubm5wc3PT+jFPTW5OnjyJKVOm4MMPP8TXX3+Nrl27mm3eKhOeftKTZmcyZMgQrXEPVDzmzTjmnLf8g1mBp7fp//3337Fs2TKoVCq0atUK9vb20sDf/NPa29uje/fu6NOnDzp27FjoP2u5Kk3O6tevj8DAQPTp0wcBAQFmtWPWlbcrV65gx44dcHFxQWBgIOzs7KQjpPmPlL744os4f/48tm3bhlatWplV3iozXv1koIIbAemHeTOOueYtKysL69atw7Bhw2BtbY3169dj//79uHz5Muzt7XHhwgVkZGTgrbfeQmZmJl599VU4ODigdevW8PLy0vpxWXPJnzE5c3R0RPPmzc36CsSsrCzs378fnTp1gpWVFRYtWoSdO3fi9u3b8PDwwK+//oq8vDyMGzcOABAaGgqlUong4GCzvqKusmJRQ0SVznfffYdly5ahbdu2mDZtmnTvD7VajezsbGzZsgXDhg3DpEmTcOPGDSQlJeHChQs4ePAgWrZsaeLoTcPYnB06dAgtWrQwcfSms3TpUuzatQtvvfUWBgwYIN0xOTc3Fw8ePMCGDRswffp09O/fH7dv30ZKSgquXr2Ks2fPSj/SS5UHixoiqnQyMzMRFRWFAwcOwMvLC4sWLYKFhYV0+P/mzZvo0aMHoqOjpZ/WSElJgYuLiynDNinmzDj//PMPFixYgGvXriE4OBjvvfceAEhXGZ46dQrjxo3D7t274eHhgYyMDKSmpko/NEuVCwcKE1GlIoSAjY0NwsLCEBQUBHd3d1hZWWmNZ/D19cX9+/dx8uRJ6T2ae6uY4/9pzJlx1Go17O3tMWPGDLi5ueHRo0ewsLDQum1Cw4YNcfPmTfzyyy8Anl5JpilozDVvlRkHChNRpaJQKCCEgLW1NcaMGSOdDtCML9Lcq6dmzZpISUmR3qMZO2MuY2jyY86Mo/lR4qpVq+Kzzz6TTtnlz5vmhoX586ZhrnmrzFjUEFGlk/9+PYD2gGnNf9GBgYGoW7euaQKshJgz42gGlRcsaABIR22aN28ONzc3U4ZJeuKYGiJ6JmVnZ6NKlSpme4WYMZgz46SlpUGlUjFvzwAWNURERCQLHChMRBWm4B1bCz6nwpgz42juplzUc5InFjVEVGEsLCyQkZGBiIgI6Tl30sVjzoyjVCrx5MkTrF69WnrOwkb+WNQQUYW6ffs2PvjgA+kOrRYWFrw0tgTMmXF+/vlnTJs2DZ988gkAaN1pmuSJRQ0RVSh/f3+cO3cO0dHRGDhwIIDCl8Zyx6ONOTNOy5YtsWnTJkRFRWHy5MkAeBm23LGoIaJyk/9wf/5TJk2aNMGePXuQk5Oj830KhQJ//vknbt26Ve4xVjbMmXF0nVqytrZGhw4dMGvWLKSlpRX53oSEBDx+/Lg8w6MKwqufiKhcqNVqaVxDeno6PDw8pJvAFTWt5u+0tDR4eHhgypQp+OSTT8zmUlrmzDiaHGVkZGDNmjW4d+8eHB0dMWHCBFhZWSErK0vnfWgAIDk5GTVr1sSSJUukn0igZxeP1BBRmRNCQKlU4vHjx2jQoAHq1auHmzdvFjnINf/t/JVKJZydnfHFF19g+/btSEhIMIudM3NmHCEELCws8OjRIzRv3hw//PADDhw4gM2bN6NLly7Iy8uTChqg8OknDw8PTJ48GVu2bMGDBw8qOnwqYyxqiKjMKRQKZGdnY8SIEXB2dkajRo3QoUMHxMfHl3j1jubgcY8ePdCnTx9UrVq1osI2KebMOAqFApmZmXjjjTfQsGFD7N27F0eOHEFERASSk5Nx+vTpEufRvXt3vPTSS6hSpUoFREzliUUNEZWLixcvIisrCx988AEWLVqEOnXqoH379rhx4wYsLCyQm5ur832a/6Q9PT0xffp0uLq6VmTYJsWcGefAgQPIzc3F7NmzYWVlBTs7OwQHB+Phw4eIi4sr8f3NmzdHeHg4HBwcKiBaKk8saoioXDRr1gzvvfceunXrhoCAAMydOxd169ZFhw4dcP36dVhaWkpHHwoO7dM8t7Ozq/C4TYk5M46vry+6desGPz8/AEBubi4cHBxQo0YNZGRkANDOV/7iUNOu+cVyeraxqCGiMpX/KpSQkBDpBxabN2+OTz75BC+88AJCQkKkow/r1q3DwYMHtXY65jIeRIM5M44mb40aNcLUqVNhY2MDtVot5c/R0RFZWVkAnuZn3759yM7Oll7XtJN8sKghojKlVCpx48YN7NmzR2rT7HybNWuGefPmoW7duujYsSNmzpyJt99+G7m5uWa9c2HOjKNUKnH9+nXExMQA+HewtabYycjIkI5sbd68Ga+//jqOHj1qqnCpArCoIaIyo1arkZOTgyFDhuDUqVNSu0KhKLSTzsrKwvz587F161a8/vrrZnvzOObMOJq8DR06VMqbpsjT5CU7OxsuLi6IiYnBkCFDEB0djddee81kMVP5syx5EiKikmnum6JUKlGvXj1cv35dqz3/UYVjx44hISEBO3fuRJcuXcx258ycGaekvGnu6+Pj44OvvvoKly9fxvr169GvXz8pb+Z+lEuueKSGiEpFc6g/MzNTavPz88O1a9cAFP69nbi4OGzZsgXR0dFaO2dz2skwZ8bRN2+a/KSmpuLChQvYvn07wsLCzDZv5oRHaojIIAXvyKpUKnHr1i306NED7u7u8PPzky4pPn78ONq0aQO1Wi399+zv749t27bB19fXbHYyzJlxSpu38ePH4z//+Q+Cg4PNKm/mjD+TQEQGe/LkCd566y1s27YNCoUCp06dwqVLlxAXF4cbN24gPT0dR44cwfPPPw9LS0vUqlULTZo0QfXq1TFq1ChTh28SzJlxjMlb48aNUadOHQwdOlSajzn9bIQ5Y1FDRAbLzMxEYGAgLCwscO7cuUI7i19//RVvvPEGlixZgnv37uHPP//Eb7/9hilTpqBjx44mitq0mDPjGJO3X3/9FVOnTjXrvJkrnn4iIr18++23yMrKwoABA2BjY4PTp0+jS5cucHd3x7179wD8+99wkyZN4Ovri+TkZIwZMwYApB8VNKf/mJkz4zBvZCwOFCYivSQnJ2Pjxo3SHVptbW2xc+dODBs2TJpGcxmyEAIuLi747bffpNc0v6tjTjsZ5sw4zBsZi0UNEemlSZMmSE9Px927dwE8vdW8nZ0dFixYAABaP7ioUCgQFBSEW7du4cmTJ2b7HzNzZhzmjYzFMTVEpLcOHTrAxsZGuvOt5r4gunzzzTdQqVR4/fXXKzLESoc5Mw7zRsZgUUNEJdLsUP7v//4P48ePR//+/TF58mSt14pirv85M2fGYd6oNHj6iYhKpNmRNGrUCK1bt8bu3buxYcMG6bX8pwMKMtedDHNmHOaNSoNHaojIIAkJCRg/fjxSUlLwxhtvYNKkSaYOqdJjzozDvJGhWNQQkcFu376NRYsWITY2Fu7u7li3bh3s7Oxgb29v6tAqLebMOMwbGYJFDREZJTU1FRcvXsTMmTORk5MDW1tbhIeHIygoCFZWVqYOr1JizozDvJG+WNQQUan99NNPuHr1KhQKhXTDNCoec2Yc5o2Kw6KGiIxW8GoTXn1SMubMOMwb6YNXPxGR0bhTMRxzZhzmjfTBIzVEREQkCzxSQ0RERLLAooaIiIhkgUUNERERyQKLGiIiIpIFFjVEREQkCyxqiIiISBZY1BAREZEssKghIiIiWWBRQ0RERLLw/5BSeN/rc1qbAAAAAElFTkSuQmCC", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for screen in [1, 2]:\n", + "\n", + " items = handler.read(variables, f\"y{screen}\", restr, iterable_x=True)\n", + " mis = [item[\"mi\"][\"value\"] for item in items]\n", + " stds = [item[\"mi\"][\"std\"] for item in items]\n", + "\n", + " probs = 100 * prob_higher(mis, stds)\n", + "\n", + " plt.figure(figsize=(6.4, 0.5 * 4.8))\n", + "\n", + " xticks = np.arange(len(mis))\n", + " plt.bar(xticks, probs)\n", + " plt.xticks(xticks, variables, rotation=45, horizontalalignment=\"right\")\n", + " plt.title(f\"Probability that sets of knobs are the most informative on $y_{screen}$ (%)\")\n", + "\n", + " plt.show()" + ] } ], "metadata": { diff --git a/examples/handlers/restrictions.yaml b/examples/handlers/restrictions.yaml index 1556e50..59c9970 100644 --- a/examples/handlers/restrictions.yaml +++ b/examples/handlers/restrictions.yaml @@ -1,13 +1,13 @@ -all: +all: null negative_1: - s1: [-1, 0] + y1: [-1, 0] positive_1: - s1: [0, 1] + y1: [0, 1] negative_2: - s2: [-1, 0] + y2: [-1, 0] positive_2: - s2: [0, 1] + y2: [0, 1] diff --git a/examples/handlers/s1.json b/examples/handlers/s1.json deleted file mode 100644 index 825454f..0000000 --- a/examples/handlers/s1.json +++ /dev/null @@ -1,53 +0,0 @@ -[ - { - "x_names": [ - "c1" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": 0.10678895196717038, - "time": 0.20339035987854004 - }, - "samples": 10000 - } - } - ] - }, - { - "x_names": [ - "c2" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": 0.12339226340835552, - "time": 0.1636514663696289 - }, - "samples": 10000 - } - } - ] - }, - { - "x_names": [ - "c3" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": 0.9460899575792017, - "time": 0.16242456436157227 - }, - "samples": 10000 - } - } - ] - } -] diff --git a/examples/handlers/s2.json b/examples/handlers/s2.json deleted file mode 100644 index ee64187..0000000 --- a/examples/handlers/s2.json +++ /dev/null @@ -1,53 +0,0 @@ -[ - { - "x_names": [ - "c1" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": 2.3981743516845846, - "time": 0.1377708911895752 - }, - "samples": 10000 - } - } - ] - }, - { - "x_names": [ - "c2" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": -0.020815063559682122, - "time": 0.1698741912841797 - }, - "samples": 10000 - } - } - ] - }, - { - "x_names": [ - "c3" - ], - "stats": [ - { - "restriction": "all", - "stats": { - "mi": { - "value": -0.002309347549454538, - "time": 0.1678617000579834 - }, - "samples": 10000 - } - } - ] - } -] diff --git a/examples/img/boxes.drawio b/examples/img/boxes.drawio new file mode 100644 index 0000000..ed31ed3 --- /dev/null +++ b/examples/img/boxes.drawio @@ -0,0 +1,46 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/examples/img/boxes.png 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""" assert filename.endswith(self.ext) filename = filename.removesuffix(self.ext) @@ -75,7 +80,9 @@ def parse_filename(self, filename: str) -> Tuple[Sequence[str], Sequence[str]]: # Creation/removal def create( - self, x_names: Union[str, Sequence[str]], y_names: Union[str, Sequence[str]] + self, + x_names: Union[str, Sequence[str]], + y_names: Union[str, Sequence[str]] ) -> None: """ Creates the statistics directory if not exists as well as the pickle files for features in `x_names` and `y_names`. @@ -95,30 +102,38 @@ def create( def remove( self, - variables: Optional[Sequence[Union[str, Sequence[str]]]], - targets: Optional[Sequence[Union[str, Sequence[str]]]], + x_names: Optional[Sequence[Union[str, Sequence[str]]]], + y_names: Optional[Sequence[Union[str, Sequence[str]]]], ) -> None: """ - If `variables` and `targets` are both None, remove the whole directory if exists. - If `variables` is None, remove all pickle files that match variables `targets`. - If `targets` is None, remove all pickle files that match variables `variables`. - If `variables` and `targets` are both not None, remove this specific pickle file. + Removes saved results. + If `x_names` and `y_names` are both None, remove the whole directory if exists. + If `x_names` is None, remove all pickle files that match targets `y_names`. + If `y_names` is None, remove all pickle files that match variables `x_names`. + If `x_names` and `y_names` are both not None, remove this specific pickle file. + + Parameters + ---------- + x_names : Optional[Sequence[Union[str, Sequence[str]]]] + Variable names. If None, remove all files that match targets `y_names`. + y_names : Optional[Sequence[Union[str, Sequence[str]]]] + Target names. If None, remove all files that match variables `x_names`. """ - if targets is None and variables is None: + if y_names is None and x_names is None: super().remove() return - if variables is None: + if x_names is None: filenames = [ - self.get_filename(v, targets) for v in self.get_available_variables(targets) + self.get_filename(v, y_names) for v in self.get_available_variables(y_names) ] - elif targets is None: + elif y_names is None: filenames = [ - self.get_filename(variables, t) for t in self.get_available_targets() + self.get_filename(x_names, t) for t in self.get_available_targets() ] else: filenames = [ - self.get_filename(variables, targets) + self.get_filename(x_names, y_names) ] for name in filenames: @@ -127,30 +142,30 @@ def remove( def delete_stats( self, - targs: Union[str, List[str]], + x_names: Optional[Union[str, List[str]]], + y_names: Union[str, List[str]], stats: Union[str, List[str]], - vars: Optional[Union[str, List[str]]] = None, ) -> None: """ - Removes stats `stats` for targets `targs` and variables `vars`. - If `vars` is omitted, the stats are removed for any variable with the specified target. + Removes stats `stats` for targets `y_names` and variables `x_names`. + If `x_names` is omitted, the stats are removed for any variable with the specified target. Parameters ---------- - targs : Union[str, List[str]] + x_names : Optional[Union[str, List[str]]] + Variables. If None, the statistics are removed for any variables. + y_names : Union[str, List[str]] Targets. stats : Union[str, List[str]] Statistic names. - vars : Optional[Union[str, List[str]]], optional - Variables. If omitted, the statistics are removed for any variables. Default None. """ - if vars is None: - vars = self.get_available_variables(targs) - elif isinstance(vars, str): - vars = [vars] + if x_names is None: + x_names = self.get_available_variables(y_names) + elif isinstance(x_names, str): + x_names = [x_names] - for v in vars: - path = self.get_filename(v, targs) + for v in x_names: + path = self.get_filename(v, y_names) with open(path, "rb") as f: d = pickle.load(f) @@ -171,17 +186,177 @@ def delete_stats( # Writing access + def check_settings( + self, + settings: Dict[str, Any] + ) -> Dict[str, Any]: + """ + Verifies the validity of `settings`. If necessary, can return a modified version of it. It does not modify the dictionnary in-place. + + Parameters + ---------- + settings : Dict[str, Any] + Settings dictionnary for statistics computation. Format: + + - `statistics`: List[str] -- names of statistics to compute. If you want to use a custom statistic, consider calling `set_additional_stats` before. + - `windows`: + + * `features`: str or List[str] -- sliding window features. These may be targets other than those for which the statistics are calculated. + * `bounds`: List[int, int] or List[List[int, int]] -- bounds [start, stop] of sliding windows. The order is the same as for the features list. + * `bounds_include_windows`: bool or List[bool], optional -- whether the bounds correspond to the limits for the center of the sliding windows (False) or to the side of the windows (True). + * `scale`: Literal[linear, log] | List[Literal[linear, log]], optional -- scale of sliding windows. Note that the scale can differ between two sliding windows. + * `length`: float | str | List[float or str], optional -- length of the window. If scale is linear, it correspond to an additive offset. If scale is log, it correspond to a multiplicative factor between the two extremities of the window. One, and only one, field among `length` and `num_windows` has to be provided. + * `num_windows`: float or List[float], optional -- number of non-overlapping sliding window for each feature. One, and only one, field among `length` and `num_windows` has to be provided. + * `points`: int or List[int], optional -- number of sliding windows. One, and only one, field among `points` and `overlap` has to be provided. + * `overlap`: float or str or List[float or str], optional -- Percentage of overlap between two consecutive sliding windows (the interpretation depends on the chosen scale). This constrain the number of windows. One, and only one, field among `points` and `overlap` has to be provided. + + - `min_samples`: int, optional -- minimum number of samples to use for computation. If the actual number of available samples is lower, the result is set to NaN. + - `max_samples`: int, optional -- maximum number of samples to use for computation. If the actual number of available samples is higher, `max_samples` random samples are drawn. + - `uncertainty`: Dict[key, entry], optional -- key is a statistic name and entry is a Dict with keys "name" (field to provide the name of the Resampler to use) and "args" (field to provide keyword arguments for Resampler). If you want to use a custom resampling, consider calling `set_additional_resamplings` before. + + Returns + ------- + Dict[str, Any] + Potentially amended settings dictionnary. + """ + settings = deepcopy(settings) + + mandatory_keys = [ + "windows", + "statistics", + ] + for key in mandatory_keys: + assert key in settings + + optional_keys = ["min_samples", "max_samples", "uncertainty"] + + for key in settings: + if key not in mandatory_keys: + assert key in optional_keys + + key = "windows" + if isinstance(settings[key], Dict): + settings[key] = [settings[key]] + assert isinstance(settings[key], List) + assert all([isinstance(el, Dict) for el in settings[key]]) + mandatory_window_keys = ["features", "bounds"] + optional_window_keys = ["bounds_include_windows", "scale"] + special_window_keys_1 = ["length", "num_windows"] + special_window_keys_2 = ["points", "overlap"] + for d in settings[key]: + assert set(d.keys()) <= set( + mandatory_window_keys + + optional_window_keys + + special_window_keys_1 + + special_window_keys_2 + ) + for name in mandatory_window_keys: + assert name in d + assert sum([name in d for name in special_window_keys_1]) == 1 + assert sum([name in d for name in special_window_keys_2]) == 1 + + if isinstance(d["features"], str): + d["features"] = [d["features"]] + n_features = len(d["features"]) + + assert isinstance(d["features"], List) + if isinstance(d["bounds"], List) and not isinstance(d["bounds"][0], List): + d["bounds"] = [d["bounds"]] * n_features + assert isinstance(d["bounds"], List) + if "bounds_include_windows" in d: + if isinstance(d["bounds_include_windows"], bool): + d["bounds_include_windows"] = [d["bounds_include_windows"]] + assert isinstance(d["bounds_include_windows"], List) + if "scale" in d: + if isinstance(d["scale"], str): + d["scale"] = [d["scale"]] * n_features + assert isinstance(d["scale"], List) + if "length" in d: + if isinstance(d["length"], (float, int)): + d["length"] = [d["length"]] + assert isinstance(d["length"], List) + assert len(d["length"]) == n_features + if "num_windows" in d: + if isinstance(d["num_windows"], (float, int)): + d["num_windows"] = [d["num_windows"]] * n_features + assert isinstance(d["num_windows"], List) + if "points" in d: + if isinstance(d["points"], int): + d["points"] = [d["points"]] * n_features + assert isinstance(d["points"], List) + if "overlap" in d: + if isinstance(d["overlap"], (str, float, int)): + d["overlap"] = [d["overlap"]] * n_features + assert isinstance(d["overlap"], List) + + # Percents + for name in ["length", "overlap"]: + if name not in d: + continue + for i, el in enumerate(d[name]): + if isinstance(el, str): + el = el.strip() + assert el[-1] == "%" + d[i] = el.strip() + assert isinstance(el, (float, int, str)) + + key = "min_samples" + if key not in settings: + settings[key] = 0 + assert isinstance(settings[key], int) + + key = "max_samples" + if key not in settings: + settings[key] = None + assert isinstance(settings[key], int) or settings[key] is None + + key = "statistics" + if isinstance(settings[key], str): + settings[key] = [settings[key]] + assert isinstance(settings[key], List) + assert all([isinstance(el, str) for el in settings[key]]) + + key = "uncertainty" + if key not in settings: + settings[key] = {} + assert isinstance(settings[key], Dict) + assert all( + [ + isinstance(k, str) and isinstance(d, Dict) + for k, d in settings[key].items() + ] + ) + assert all(["name" in d for d in settings[key].values()]) + for k in settings[key]: + assert settings[key][k]["name"] in self.resamplings + if "args" not in settings[key][k]: + settings[key][k] = {} + + return settings + def store( self, x_names: Union[str, List[str]], y_names: Union[str, List[str]], - inputs_dict: Dict[str, Any], + settings: Dict[str, Any], overwrite: bool = False, - raise_error: bool = True, + raise_error: bool = False, ) -> None: """ - Inputs_dict: - - TODO + Computes and saves statistics. Detailed instructions are provided by `settings`. If `overwrite` is True, existing results are overwritten. Else, they are kept. + + Parameters + ---------- + x_names : Union[str, List[str]] + Variable or set of variable names. + y_names : Union[str, List[str]] + Target or set of target names. + settings : Dict[str, Any] + Instructions for computation. More details on the dictionnary format are given in the `check_settings` documentation. + overwrite : bool, optional + Whether existing results must be overwritten, by default False (existing results kept). + raise_error : bool, optional + Whether the function should propagate errors that occur during the calculation of statistics. If False, the entries are set to None, by default True. """ if self.getter is None: raise RuntimeError( @@ -189,8 +364,8 @@ def store( ) # Checks that the file is in the expected format. - inputs_dict = self._check_inputs( - inputs_dict, + settings = self.check_settings( + settings, ) if isinstance(x_names, str): @@ -209,14 +384,9 @@ def store( results = pickle.load(f) # results is a list of dicts # Windows loop - for wins in inputs_dict["windows"]: + for wins in settings["windows"]: wins = wins.copy() - # for key in ['features', 'bounds', 'scale', 'length', 'points']: TODO - # if key not in wins: - # wins[key] = [None] - # elif not isinstance(wins[key], List): - # wins[key] = [wins[key]] # We check if the data already exists index_windows = self._index_of_data( @@ -234,7 +404,7 @@ def store( index_windows = -1 entry = results[index_windows]["stats"] - for stat in inputs_dict["statistics"]: + for stat in settings["statistics"]: # We pass if the existing statistic exists and that overwrite is False if not overwrite and stat in entry: @@ -250,7 +420,7 @@ def store( wins, operator, stat, - inputs_dict, + settings, entry[stat], raise_error=raise_error, ) # Modify `entry` in-place @@ -267,6 +437,23 @@ def read( y_names: Union[str, Sequence[str]], wins_features: Union[str, Sequence[str]], ) -> Dict[str, Any]: + """ + Returns entries for variables `x_names`, targets `y_names` and sliding window features `wins_features`. + + Parameters + ---------- + x_names : Union[str, Sequence[str]] + Variable names. + y_names : Union[str, Sequence[str]] + Target names. + wins_features : Union[str, Sequence[str]] + Sliding window feature names. + + Returns + ------- + Dict[str, Any] + _description_ + """ # Formatting if isinstance(x_names, str): x_names = [x_names] @@ -293,7 +480,7 @@ def read( if not found: raise ValueError(f"Windows {names} doesn't exist in data") - return data + return data["stats"] def get_available_targets(self) -> List[List[str]]: """ @@ -307,7 +494,8 @@ def get_available_targets(self) -> List[List[str]]: return self.drop_duplicates([self.parse_filename(f)[0] for f in self.get_existing_saves()]) def get_available_variables( - self, y_names: Union[None, str, List[str]] + self, + y_names: Union[None, str, List[str]] ) -> List[List[str]]: """ Returns all available variables for targets `y_names` in saves. @@ -330,7 +518,9 @@ def get_available_variables( return [v for t, v in features if set(t) == set(y_names)] def get_available_window_features( - self, x_names: Union[str, List[str]], y_names: Union[str, List[str]] + self, + x_names: Union[str, List[str]], + y_names: Union[str, List[str]] ) -> List[List[str]]: """ Returns all available sliding window features for targets `y_names` and variables `x_names` in saves. @@ -401,24 +591,36 @@ def _compute_stat( wins: Dict[str, Any], operator: Statistic, stat: str, - inputs_dict: Dict[str, Any], + settings: Dict[str, Any], entry: Dict[str, Any], - raise_error: bool = True, # TODO + raise_error: bool = False, ) -> Dict[str, Any]: """ - wins: - - features: List[str] - - bounds: List[Tuple[float, float]] - - bounds_include_windows: bool - - scale: List[Literal[lin, log]] - - length: List[float] - - num_windows: List[float] - - points: List[int] - - overlap: List[Union[float, str]] - - Incompatible wins options: - - length ou num_window - - points ou overlap + _summary_ + + Parameters + ---------- + x_names : List[str] + Variable names. + y_names : List[str] + Target names. + wins : Dict[str, Any] + Sliding window feature names. + operator : Statistic + Statistic estimator. + stat : str + Statistic name. + settings : Dict[str, Any] + Instructions for computation. More details on the dictionnary format are given in the `check_settings` documentation. + entry : Dict[str, Any] + Statistics entry. + raise_error : bool, optional + Whether the function should propagate errors that occur during the calculation of statistics. If False, estimate are set to NaN, by default False. + + Returns + ------- + Dict[str, Any] + Updated entry. """ if "length" not in wins: @@ -473,12 +675,12 @@ def _compute_stat( samples = np.zeros(wins["points"]) if ( - stat in inputs_dict["uncertainty"] - and "name" in inputs_dict["uncertainty"][stat] + stat in settings["uncertainty"] + and "name" in settings["uncertainty"][stat] ): std = np.zeros(wins["points"]) - name_resampling = inputs_dict["uncertainty"][stat]["name"] - args = inputs_dict["uncertainty"][stat]["args"] + name_resampling = settings["uncertainty"][stat]["name"] + args = settings["uncertainty"][stat]["args"] else: std = None @@ -493,17 +695,19 @@ def _compute_stat( key: [b[0][i], b[1][i]] for i, b, key in zip(ii, bounds, wins["features"]) } - _X, _Y = self.getter(x_names, y_names, restrict, inputs_dict["max_samples"]) + _X, _Y = self.getter(x_names, y_names, restrict, settings["max_samples"]) # Samples n = _Y.shape[0] samples[ii] = n # Computation of value - if n >= inputs_dict["min_samples"]: + if n >= settings["min_samples"]: try: data[ii] = operator(_Y, _X) - except: + except Exception as e: + if raise_error is True: + raise e data[ii] = np.nan else: data[ii] = np.nan @@ -512,12 +716,14 @@ def _compute_stat( continue # Computation of estimator variance - if n >= inputs_dict["min_samples"]: + if n >= settings["min_samples"]: try: std[ii] = self.resamplings[name_resampling].compute_sigma( _X, _Y, operator, **args ) - except: + except Exception as e: + if raise_error is True: + raise e std[ii] = np.nan else: std[ii] = np.nan @@ -529,7 +735,9 @@ def _compute_stat( @staticmethod def _index_of_data( - ls: Sequence[Dict[str, Sequence]], value: Sequence, key: str + ls: Sequence[Dict[str, Sequence]], + value: Sequence, + key: str ) -> Optional[int]: """ Order of element and case are important. @@ -539,143 +747,3 @@ def _index_of_data( except ValueError: index = None return index - - def _check_inputs(self, inputs_dict: Dict[str, Any]) -> Dict[str, Any]: - """ - windows: - - features: str or List[str] - bounds: List[int, int] or List[List[int, int]] - bounds_include_windows: bool or List[bool] (optional) - scale: Literal[linear, log] or List[Literal[linear, log]] (optional) - length: float or str or List[float or str] (optional, length ^ num_windows) - num_windows: float or List[float] (optional, length ^ num_windows) - points: int or List[int] (optional, points ^ overlap) - overlap: float or str or List[float or str] (optional, points ^ overlap) - - min_samples: int (optional) - max_samples: int (optional) - - statistics: List[str] - - uncertainty (optional): - str: - name: str - args: - arg1: Any - ... - ... - """ - inputs_dict = deepcopy(inputs_dict) - - mandatory_keys = [ - "windows", - "statistics", - ] - for key in mandatory_keys: - assert key in inputs_dict - - optional_keys = ["min_samples", "max_samples", "uncertainty"] - - for key in inputs_dict: - if key not in mandatory_keys: - assert key in optional_keys - - key = "windows" - if isinstance(inputs_dict[key], Dict): - inputs_dict[key] = [inputs_dict[key]] - assert isinstance(inputs_dict[key], List) - assert all([isinstance(el, Dict) for el in inputs_dict[key]]) - mandatory_window_keys = ["features", "bounds"] - optional_window_keys = ["bounds_include_windows", "scale"] - special_window_keys_1 = ["length", "num_windows"] - special_window_keys_2 = ["points", "overlap"] - for d in inputs_dict[key]: - assert set(d.keys()) <= set( - mandatory_window_keys - + optional_window_keys - + special_window_keys_1 - + special_window_keys_2 - ) - for name in mandatory_window_keys: - assert name in d - assert sum([name in d for name in special_window_keys_1]) == 1 - assert sum([name in d for name in special_window_keys_2]) == 1 - - if isinstance(d["features"], str): - d["features"] = [d["features"]] - n_features = len(d["features"]) - - assert isinstance(d["features"], List) - if isinstance(d["bounds"], List) and not isinstance(d["bounds"][0], List): - d["bounds"] = [d["bounds"]] * n_features - assert isinstance(d["bounds"], List) - if "bounds_include_windows" in d: - if isinstance(d["bounds_include_windows"], bool): - d["bounds_include_windows"] = [d["bounds_include_windows"]] - assert isinstance(d["bounds_include_windows"], List) - if "scale" in d: - if isinstance(d["scale"], str): - d["scale"] = [d["scale"]] * n_features - assert isinstance(d["scale"], List) - if "length" in d: - if isinstance(d["length"], (float, int)): - d["length"] = [d["length"]] - assert isinstance(d["length"], List) - assert len(d["length"]) == n_features - if "num_windows" in d: - if isinstance(d["num_windows"], (float, int)): - d["num_windows"] = [d["num_windows"]] * n_features - assert isinstance(d["num_windows"], List) - if "points" in d: - if isinstance(d["points"], int): - d["points"] = [d["points"]] * n_features - assert isinstance(d["points"], List) - if "overlap" in d: - if isinstance(d["overlap"], (str, float, int)): - d["overlap"] = [d["overlap"]] * n_features - assert isinstance(d["overlap"], List) - - # Percents - for name in ["length", "overlap"]: - if name not in d: - continue - for i, el in enumerate(d[name]): - if isinstance(el, str): - el = el.strip() - assert el[-1] == "%" - d[i] = el.strip() - assert isinstance(el, (float, int, str)) - - key = "min_samples" - if key not in inputs_dict: - inputs_dict[key] = 0 - assert isinstance(inputs_dict[key], int) - - key = "max_samples" - if key not in inputs_dict: - inputs_dict[key] = None - assert isinstance(inputs_dict[key], int) or inputs_dict[key] is None - - key = "statistics" - if isinstance(inputs_dict[key], str): - inputs_dict[key] = [inputs_dict[key]] - assert isinstance(inputs_dict[key], List) - assert all([isinstance(el, str) for el in inputs_dict[key]]) - - key = "uncertainty" - if key not in inputs_dict: - inputs_dict[key] = {} - assert isinstance(inputs_dict[key], Dict) - assert all( - [ - isinstance(k, str) and isinstance(d, Dict) - for k, d in inputs_dict[key].items() - ] - ) - assert all(["name" in d for d in inputs_dict[key].values()]) - for k in inputs_dict[key]: - assert inputs_dict[key][k]["name"] in self.resamplings - if "args" not in inputs_dict[key][k]: - inputs_dict[key][k] = {} - - return inputs_dict diff --git a/infovar/handlers/discrete_handler.py b/infovar/handlers/discrete_handler.py index 9180007..cfb9bb6 100644 --- a/infovar/handlers/discrete_handler.py +++ b/infovar/handlers/discrete_handler.py @@ -1,13 +1,12 @@ import json import os -import shutil from time import time -from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple, Union +from typing import Any, Dict, Iterable, List, Optional, Sequence, Tuple, Union +from types import NoneType import numpy as np from tqdm import tqdm -from ..stats.resampling import Resampling from ..stats.statistics import Statistic from .handler import Handler @@ -25,7 +24,10 @@ class DiscreteHandler(Handler): # Setter - def set_restrictions(self, d: Dict[str, Dict[str, Tuple[float, float]]]) -> None: + def set_restrictions( + self, + d: Dict[str, Dict[str, Tuple[float, float]]] + ) -> None: """ Set new restrictions, i.e., the constraints on one or more targets that reduce the number of data samples that can be used in the calculation. @@ -36,13 +38,15 @@ def set_restrictions(self, d: Dict[str, Dict[str, Tuple[float, float]]]) -> None """ if not isinstance(d, Dict): raise TypeError(f"Restriction dictionnary must be a Dict, not {type(d)}") - t = self._check_dict_type(d, str, Dict) + t = self._check_dict_type(d, str, (Dict, NoneType)) if t is not None: raise TypeError( f"{t} is not a valid entry ({type(t[0])}, {type(t[1])} instead of (str, Dict))" ) for _d in d.values(): + if _d is None: + continue t = self._check_dict_type(_d, str, List) if t is not None: raise TypeError( @@ -53,7 +57,10 @@ def set_restrictions(self, d: Dict[str, Dict[str, Tuple[float, float]]]) -> None # Saves - def get_filename(self, y_names: Union[str, Sequence[str]]) -> str: + def get_filename( + self, + y_names: Union[str, Sequence[str]] + ) -> str: """ Builds a save filename from target names. @@ -72,7 +79,10 @@ def get_filename(self, y_names: Union[str, Sequence[str]]) -> str: _y_names = self.filename_sep.join(sorted(y_names)) return os.path.join(self.save_path, _y_names + self.ext) - def parse_filename(self, filename: str) -> Sequence[str]: + def parse_filename( + self, + filename: str + ) -> Sequence[str]: """ Identifies data names from save filename. @@ -91,7 +101,10 @@ def parse_filename(self, filename: str) -> Sequence[str]: # Writing access - def create(self, y_names: Union[str, Sequence[str]]): + def create( + self, + y_names: Union[str, Sequence[str]] + ): """ Create the statistics directory if not exists as well as the JSON files for features in `y_names`. @@ -106,10 +119,19 @@ def create(self, y_names: Union[str, Sequence[str]]): with open(path, "w", encoding="utf-8") as f: json.dump([], f, ensure_ascii=False, indent=4) - def remove(self, y_names: Optional[Sequence[Union[str, Sequence[str]]]]) -> None: + def remove( + self, + y_names: Optional[Union[List[str], str]] + ) -> None: """ + Removes saved results. If `y_names` is None, remove the entire `self.save_path` directory. If `y_names` is not None, only remove the corresponding JSON file, if exists. If not, raise an error. + + Parameters + ---------- + y_names : Optional[Union[List[str], str]] + Name of target file to remove. If None, all saves are deleted. """ if not os.path.isdir(self.save_path): raise FileNotFoundError(f"Save directory {self.save_path} does not exist.") @@ -118,43 +140,44 @@ def remove(self, y_names: Optional[Sequence[Union[str, Sequence[str]]]]) -> None super().remove() return - for tar in y_names: - path = self.get_filename(tar) - if os.path.isfile(path): - os.remove(path) + path = self.get_filename(y_names) + if os.path.isfile(path): + os.remove(path) def delete_stats( self, - targs: Union[str, List[str]], + x_names: Optional[Union[str, List[str]]], + y_names: Union[str, List[str]], stats: Union[str, List[str]], - vars: Optional[Union[str, List[str]]] = None, ) -> None: """ - Removes stats `stats` for targets `targs` and variables `vars`. - If `vars` is omitted, the stats are removed for any variable with the specified target. + Removes stats `stats` for variables `x_names` and targets `y_names` . + If `x_names` is omitted, the stats are removed for any variable with the specified target. Parameters ---------- - targs : Union[str, List[str]] - Targets. + x_names : Optional[Union[str, List[str]]], optional + Variable names. If None, the statistics are removed for any variables. + y_names : Union[str, List[str]] + Target names. stats : Union[str, List[str]] Statistic names. - vars : Optional[Union[str, List[str]]], optional - Variables. If omitted, the statistics are removed for any variables. Default None. """ - path = self.get_filename(targs) + path = self.get_filename(y_names) with open(path, "r") as f: d = json.load(f) # results is a list of dicts if isinstance(stats, str): stats = [stats] - if vars is not None: - raise NotImplementedError("TODO") + if isinstance(x_names, str): + x_names = [x_names] for stat in stats: print(f"Removing {stat} in {os.path.basename(path)}") for item1 in d: + if x_names is not None and set(item1["x_names"]) != set(x_names): + continue for item2 in item1["stats"]: item3 = item2["stats"] for key in [f"{stat}", f"{stat}-time", f"{stat}-boot"]: @@ -164,11 +187,55 @@ def delete_stats( json.dump(d, f, ensure_ascii=False, indent=4) os.rename(path + ".tmp", path) + @staticmethod + def check_settings( + settings: Dict[str, Any], + ) -> Dict[str, Any]: + """ + Verifies the validity of `settings`. If necessary, can return a modified version of it. It does not modify the dictionnary in-place. + + Parameters + ---------- + settings : Dict[str, Any] + Settings dictionnary for statistics computation. Format: + + - `statistics`: List[str] -- names of statistics to compute. If you want to use a custom statistic, consider calling `set_additional_stats` before. + - `restrictions`: List[str], optional -- names of restrictions to use. The definition of the restriction are provided by the `set_restrictions` method. + - `uncertainty`: Dict[key, entry], optional -- key is a statistic name and entry is a Dict with keys "name" (field to provide the name of the Resampler to use) and "args" (field to provide keyword arguments for Resampler). If you want to use a custom resampling, consider calling `set_additional_resamplings` before. + - `min_samples`: int, optional -- minimum number of samples to use for computation. If the actual number of available samples is lower, the result is set to None. + - `max_samples`: int, optional -- maximum number of samples to use for computation. If the actual number of available samples is higher, `max_samples` random samples are drawn. + + Returns + ------- + Dict[str, Any] + Potentially amended settings dictionnary. + """ + settings = settings.copy() + + if "statistics" not in settings or settings["statistics"] is None: + raise ValueError("'statistics' field in `settings` dictionnary must be a list of strings") + + if "uncertainty" not in settings or settings["uncertainty"] is None: + settings.update({"uncertainty": {}}) + for stat in settings["uncertainty"]: + if "name" not in settings["uncertainty"][stat]: + raise ValueError("Uncertainty entries must provide a method name under the field 'name'.") + if "args" not in settings["uncertainty"][stat]: + settings["uncertainty"][stat].update({"args": {}}) + + if "restriction" not in settings or settings["restriction"] is None: + settings.update({"restriction": {}}) + if "min_samples" not in settings: + settings.update({"min_samples": None}) + if "max_samples" not in settings: + settings.update({"max_samples": None}) + return settings + def store( self, x_names: Union[str, List[str], Iterable[List[str]]], y_names: Union[str, List[str]], - inputs_dict: Dict[str, Any], + settings: Dict[str, Any], overwrite: bool = False, iterable_x: bool = False, save_every: int = 1, @@ -177,12 +244,33 @@ def store( raise_error: bool = True, ) -> None: """ - Inputs_dict: - - TODO + Computes and saves statistics. Detailed instructions are provided by `settings`. If `overwrite` is True, existing results are overwritten. Else, they are kept. + If `iterable_x` is True, the function assumes that `x_names` is an list of variables or sets of variables. + + Parameters + ---------- + x_names : Union[str, List[str], Iterable[List[str]]] + Variable or set of variable names. If `iterable_x` is True, list of variable or set of variable names. + y_names : Union[str, List[str]] + Target or set of target names. + settings : Dict[str, Any] + Instructions for computation. More details on the dictionnary format are given in the `check_settings` documentation. + overwrite : bool, optional + Whether existing results must be overwritten, by default False (existing results kept). + iterable_x : bool, optional + Whether `x_names` is a list of variables or sets of variables, by default False. + save_every : int, optional + Defines how many variables the backup should be updated with. Increasing the value of this argument speeds up the program by reducing the number of times the backup file is written (ignored if `iterable_x` is False), by default 1 + progress_bar : bool, optional + Whether a progress bar has to be displayed (ignored if `iterable_x` is False), by default True. + total_iter : int, optional + Number of elements in iterable. Useful when the iterable is not a Sequence, by default None. + raise_error : bool, optional + Whether the function should propagate errors that occur during the calculation of statistics. If False, the entries are set to None, by default True. """ # Checks that the file is in the expected format. - inputs_dict = self._check_inputs(inputs_dict) + settings = self.check_settings(settings) if isinstance(y_names, str): y_names = [y_names] @@ -203,6 +291,12 @@ def store( else: x_names = [x_names] + if not iterable_x: + progress_bar = False + + if total_iter is None and iterable_x and isinstance(x_names, (List, Tuple)): + total_iter = len(x_names) + pbar = tqdm( x_names, desc=str(y_names).replace("'", ""), @@ -234,10 +328,9 @@ def store( index_x = -1 # Ranges loop - for restr in inputs_dict[ + for restr in settings[ "restrictions" - ]: # TODO: "restrictions" field can be None - + ]: # We check if ranges already exists index_ranges = self._index_of_ranges( results[index_x]["stats"], value=restr, key="restriction" @@ -264,17 +357,17 @@ def store( restrict_dict = {} _X, _Y = self.getter( - _x_names, y_names, restrict_dict, inputs_dict.get("max_samples") + _x_names, y_names, restrict_dict, settings.get("max_samples") ) entry = results[index_x]["stats"][index_ranges]["stats"] - for stat in inputs_dict["statistics"]: + for stat in settings["statistics"]: if overwrite and stat in entry: entry.pop(stat, None) if set(entry.keys()) <= {"samples"}: # If no keys or only "samples" entry.pop("samples", None) - for stat in inputs_dict["statistics"]: + for stat in settings["statistics"]: if stat in entry: continue @@ -289,7 +382,7 @@ def store( _Y, operator, stat, - inputs_dict, + settings, entry[stat], raise_error=raise_error, ) # Modify `entry` in-place @@ -324,29 +417,45 @@ def _compute_stat( Y: np.ndarray, operator: Statistic, stat: str, - inputs_dict: Dict[str, Any], + settings: Dict[str, Any], entry: Dict[str, Any], raise_error: bool = True, ) -> Dict[str, Any]: """ - TODO Modifies in-place the `entry` dictionnary. - Adds or changes the three following entries of `entry`: - - {stat}: computed only if current value is None. + Adds or changes the three following entries: + - `value`: computed only if current value is None. If error, the default value is None. - - {stat}-time: computed only if new value of {stat} is not None. - - {stat}-boot: computed only if new value of {stat} is not None - and if `inputs_dict["bootstrapping"][stat]` is not None. - If current value is None, then the entry is replaced by the new array. - If current value is not None, then we compute as many values as necessary to reach - `inputs_dict["bootstrapping"][stat]` total values. - - Note: if the available number of samples is lower than `inputs_dict["min_samples"]`, + - `time`: computed only if new value of `stat` is not None. + - `std`: computed only if new value of `stat` is not None and if `settings["bootstrapping"][stat]` is not None. + If the available number of samples is lower than `settings["min_samples"]`, then all three entries are set to None. + + Parameters + ---------- + X : np.ndarray + Variable data. + Y : np.ndarray + Target data. + operator : Statistic + Statistic estimator. + stat : str + Statistics name. + settings : Dict[str, Any] + Instructions for computation. More details on the dictionnary format are given in the `check_settings` documentation. + entry : Dict[str, Any] + Statistics entry. + raise_error : bool, optional + Whether the function should propagate errors that occur during the calculation of statistics. If False, the entries are set to None, by default True. + + Returns + ------- + Dict[str, Any] + Updated entry. """ # Samples samples = Y.shape[0] - if samples <= inputs_dict["min_samples"]: + if samples <= settings["min_samples"]: return {"value": None, "time": None, "std": None} # Simple computation @@ -367,11 +476,11 @@ def _compute_stat( return entry # Uncertainty - if stat not in inputs_dict["uncertainty"]: + if stat not in settings["uncertainty"]: return entry try: - d = inputs_dict["uncertainty"][stat] + d = settings["uncertainty"][stat] name, args = d["name"], d["args"] except Exception as e: if raise_error: @@ -482,7 +591,7 @@ def get_available_targets(self) -> List[List[str]]: def get_available_variables( self, - targets: Union[str, List[str]], + y_names: Union[str, List[str]], ) -> List[List[str]]: """ Returns all available variables for targets `y_names` in saves. @@ -498,7 +607,7 @@ def get_available_variables( Available variables in saves. """ # Load data - path = self.get_filename(targets) + path = self.get_filename(y_names) if not os.path.exists(path): raise FileNotFoundError(f"File {path} not exists yet.") with open(path, "r") as f: @@ -507,10 +616,12 @@ def get_available_variables( return [item["x_names"] for item in data] def get_available_restrictions( - self, targets: Union[str, List[str]], variables: Union[str, List[str]] + self, + x_names: Union[str, List[str]], + y_names: Union[str, List[str]] ) -> List[str]: """ - Returns all available restrictions for targets `y_names` and variables `x_names` in saves. + Returns all available restrictions for targets variables `x_names` and `y_names` in saves. Parameters ---------- @@ -524,31 +635,31 @@ def get_available_restrictions( List[str] Available restrictions. """ - if isinstance(targets, str): - targets = [targets] - if isinstance(variables, str): - variables = [variables] + if isinstance(x_names, str): + x_names = [x_names] + if isinstance(y_names, str): + y_names = [y_names] # Load data - path = self.get_filename(targets) + path = self.get_filename(y_names) if not os.path.exists(path): raise FileNotFoundError(f"File {path} not exists yet.") with open(path, "r") as f: data = json.load(f) # results is a list of dicts # Get variables content - content = self._get_variables_content(variables, data) + content = self._get_variables_content(x_names, data) return [item["restriction"] for item in content] def get_available_stats( self, - targets: Union[str, List[str]], - variables: Union[str, List[str]], + x_names: Union[str, List[str]], + y_names: Union[str, List[str]], restriction: str, ) -> List[str]: """ - Returns all available statistics for targets `y_names`, variables `x_names` and restriction `restriction` in saves. + Returns all available statistics for variables `x_names`, targets `y_names`, and restriction `restriction` in saves. Parameters ---------- @@ -564,29 +675,29 @@ def get_available_stats( List[str] Available statistics. """ - if isinstance(targets, str): - targets = [targets] - if isinstance(variables, str): - variables = [variables] + if isinstance(x_names, str): + x_names = [x_names] + if isinstance(y_names, str): + y_names = [y_names] # Load data - path = self.get_filename(targets) + path = self.get_filename(y_names) if not os.path.exists(path): raise FileNotFoundError(f"File {path} not exists yet.") with open(path, "r") as f: data = json.load(f) # results is a list of dicts # Get variables content - content = self._get_variables_content(variables, data) + content = self._get_variables_content(x_names, data) if content is None: - raise ValueError(f"Invalid variables {variables} for targets {targets}") + raise ValueError(f"Invalid variables {x_names} for targets {y_names}") for entry in content: if entry["restriction"] == restriction: return [s for s in entry["stats"].keys() if s != "samples"] raise ValueError( - f"Invalid restriction {restriction} for targets {targets} and variables {variables}" + f"Invalid restriction {restriction} for variables {x_names} and targets {y_names}" ) # Display @@ -625,7 +736,8 @@ def _get_variables_content( @staticmethod def _get_restriction_content( - restr: str, data: List[Dict[str, Any]] + restr: str, + data: List[Dict[str, Any]] ) -> Dict[str, Any]: """ Returns the entry in `data` that match restriction `restr`. @@ -651,7 +763,9 @@ def _get_restriction_content( @staticmethod def _index_of( - ls: Sequence[Dict[str, Sequence]], value: Sequence, key: str + ls: Sequence[Dict[str, Sequence]], + value: Sequence, + key: str ) -> Optional[int]: """ Returns the index `i` of list `ls` with `ls[i][key] == value` where `value` is a list. Order of elements and case are important. @@ -678,7 +792,8 @@ def _index_of( @staticmethod def _index_of_ranges( - ls: Sequence[Dict[str, Dict]], value: Sequence, key: str + ls: Sequence[Dict[str, Dict]], + value: Sequence, key: str ) -> Optional[int]: """ Returns the index `i` of list `ls` with `ls[i][key] == value` where `value` is a list. Order of elements and case are important. @@ -702,25 +817,3 @@ def _index_of_ranges( except ValueError: index = None return index - - @staticmethod - def _check_inputs( - inputs_dict: Dict[str, Any], - ) -> Dict[str, Any]: - """ - Verifies the validity of `inputs_dict`. If necessary, can return a modified version of it. It does not modify the argument in-place. - - Parameters - ---------- - inputs_dict : Dict[str, Any] - Settings dictionnary for statistics computation. - - Returns - ------- - Dict[str, Any] - Potentially amended settings dictionnary. - """ - inputs_dict = inputs_dict.copy() - if "uncertainty" not in inputs_dict: - inputs_dict.update({"uncertainty": {}}) - return inputs_dict diff --git a/infovar/handlers/getters.py b/infovar/handlers/getters.py index 343cb47..702cb22 100644 --- a/infovar/handlers/getters.py +++ b/infovar/handlers/getters.py @@ -7,13 +7,39 @@ class StandardGetter: + """ + Class implementing a `get` function for handlers. + """ + def __init__( - self, x_names: List[str], y_names: List[str], x: np.ndarray, y: np.ndarray + self, + x_names: List[str], + y_names: List[str], + x: np.ndarray, + y: np.ndarray ): - self.x_names = x_names - self.y_names = y_names - self.x = x - self.y = y + """ + Initializer. + + Parameters + ---------- + x_names : List[str] + Variable names. + y_names : List[str] + Target names. + x : np.ndarray + Variable data. Must have x.shape[0] == len(x_names). + y : np.ndarray + Target data. Must have y.shape[0] == len(y_names). + """ + assert x.shape[0] == y.shape[0] + assert x.shape[1] == len(x_names) + assert y.shape[1] == len(y_names) + + self.x_names = x_names #: Variable names. + self.y_names = y_names #: Target names. + self.x = x #: Variable data + self.y = y #: Target data def get( self, @@ -21,7 +47,28 @@ def get( y_features: List[str], restrictions: Dict[str, Tuple[float]], max_samples: Optional[int] = None, - ): + ) -> Tuple[np.ndarray, np.ndarray]: + """ + Returns variable and target data that verifies the restrictions provided by `restriction` dictionnary. If `max_samples` is not None, it precises the maximum number of random samples to draw. + + Parameters + ---------- + x_features : List[str] + Names of features to return. + y_features : List[str] + Names of targets to return. + restrictions : Dict[str, Tuple[float]] + Dictionnary of restrictions on variable or target values. + max_samples : Optional[int], optional + If not None, maximum number of random samples to draw, by default None. + + Returns + ------- + np.ndarray + Selected variable data. + np.ndarray + Selected target data. + """ assert set(x_features) <= set(self.x_names) assert set(y_features) <= set(self.y_names) diff --git a/infovar/handlers/handler.py b/infovar/handlers/handler.py index 9c6e895..30e4fd9 100644 --- a/infovar/handlers/handler.py +++ b/infovar/handlers/handler.py @@ -246,9 +246,13 @@ def overview(self): """ print(str(self)) print("Save path:", self.save_path) - print("Existing saves:") - for filename in self.get_existing_saves(): - print(filename) + files = self.get_existing_saves() + if len(files) == 0: + print("No existing saves.") + else: + print("Existing saves:") + for filename in files: + print(filename) @abstractmethod def __str__(self): diff --git a/infovar/stats/entropy_estimators.py b/infovar/stats/entropy_estimators.py index 8922fc9..05cf62e 100644 --- a/infovar/stats/entropy_estimators.py +++ b/infovar/stats/entropy_estimators.py @@ -1,7 +1,5 @@ -#!/usr/bin/env python -# Based on the package by Greg Ver Steeg -# See readme.pdf for documentation -# Or go to http://www.isi.edu/~gregv/npeet.html +# Adapted from Greg Ver Steeg's package +# For details, see http://www.isi.edu/~gregv/npeet.html import numpy as np from scipy.special import digamma diff --git a/infovar/stats/info_theory.py b/infovar/stats/info_theory.py index f4413ea..d8036e7 100644 --- a/infovar/stats/info_theory.py +++ b/infovar/stats/info_theory.py @@ -1,27 +1,134 @@ -from typing import Union +from typing import List, Union import numpy as np __all__ = [ - "mse_lower_bound", - "rmse_lower_bound", - "corr_to_info", - "info_to_corr" + "condh_to_mse_gaussian", + "condh_to_rmse_gaussian", + "corr_to_info_gaussian_1d", + "corr_to_info_gaussian_nd", + "info_to_corr_gaussian" ] - # Lower bound of MSE -def mse_lower_bound(cond_h: Union[float, np.ndarray], base: float=2) : - return 1/(2*np.pi*np.e) * np.exp(2*cond_h*np.log(base)) +def condh_to_mse_gaussian( + condh: Union[float, np.ndarray], + dim: int=1, + base: float=2 +) -> Union[float, np.ndarray]: + """ + Converts conditional differential entropy into estimation mean squared error (MSE) under multivariate Gaussian assumption. + + Parameters + ---------- + condh : Union[float, np.ndarray] + Conditional differential entropy. + dim : int, optional + Dimension of multivariate Gaussian variable, by default 1 (univariate case). + base : float, optional + Base of differential entropy, by default 2 (bits). + + Returns + ------- + Union[float, np.ndarray] + Estimation mean squared error. + """ + return dim / (2*np.pi*np.e) * np.exp(2/dim*condh*np.log(base)) # Lower bound of RMSE -def rmse_lower_bound(cond_h: Union[float, np.ndarray], base: float=2) : - return np.sqrt(mse_lower_bound(cond_h, base = base)) +def condh_to_rmse_gaussian( + condh: Union[float, np.ndarray], + dim: int=1, + base: float=2 +) -> Union[float, np.ndarray]: + """ + Converts conditional differential entropy into estimation root mean squared error (RMSE) under multivariate Gaussian assumption. + + Parameters + ---------- + condh : Union[float, np.ndarray] + Conditional differential entropy. + dim : int, optional + Dimension of multivariate Gaussian variable, by default 1 (univariate case). + base : float, optional + Base of differential entropy, by default 2 (bits). + + Returns + ------- + Union[float, np.ndarray] + Estimation root mean squared error. + """ + return np.sqrt(condh_to_mse_gaussian(condh, dim=dim, base=base)) # Correlation to amount of information -def corr_to_info(rho, base: float=2): +def corr_to_info_gaussian_1d( + rho: Union[float, np.ndarray], + base: float=2 +) -> float: + """ + Converts Pearson correlation coefficient into mutual information under univariate Gaussian asumption. + + Parameters + ---------- + rho : Union[float, np.ndarray] + Pearson correlation coefficient or array of correlation coefficients. + base : float, optional + Base of mutual information, by default 2 (bits). + + Returns + ------- + float + Mutual information between the two subsets of variables. + """ + assert isinstance(rho, (float, np.ndarray)) return - 0.5 * np.log(1 - rho**2) / np.log(base) +def corr_to_info_gaussian_nd( + C: np.ndarray, + I1: List[int], + I2: List[int], + base: float=2 +) -> float: + """ + Converts covariance matrix into mutual information under multivariate Gaussian asumption. + + Parameters + ---------- + C : np.ndarray + Full covariance matrix of multivariate normal variable. + I1 : List[int] + Indices of first subset of variables. + I2 : List[int] + Indices of second subset of variables. + base : float, optional + Base of mutual information, by default 2 (bits). + + Returns + ------- + float + Mutual information between the two subsets of variables. + """ + C1, C2 = C[I1, I1], C[I2, I2] + return 0.5 * np.log(np.det(C1) * np.det(C2) / np.det(C)) / np.log(base) + # Information to correlation -def info_to_corr(mi, base: float=2): +def info_to_corr_gaussian( + mi: float, + base: float=2 +) -> float: + """ + Converts mutual information into a Pearson correlation coefficient under multivariate Gaussian asumption. + + Parameters + ---------- + mi : float + Mutual information. + base : float, optional + Base of mutual information, by default 2 (bits). + + Returns + ------- + float + Correlation coefficient. + """ return np.sqrt(1 - base**(-2*mi)) diff --git a/infovar/stats/preprocessing.py b/infovar/stats/preprocessing.py index edd0241..3eb6ff3 100644 --- a/infovar/stats/preprocessing.py +++ b/infovar/stats/preprocessing.py @@ -5,10 +5,18 @@ def break_degeneracy(data: np.ndarray) -> np.ndarray: """ - Measures the sample step and add an adequate noise to break degeneracy. - data: np.ndarray of shape (N, dim). + Measures the sample step and add an adequate noise to break degeneracy (i.e., eliminate duplicates). Allows k-nearest neighbor estimators (e.g., entropy) to be used with data that, without processing, would cause the algorithms to fail. + Note: this function does not work in all situations (for instance when applying a logarithm). - Note: seems not to work when applying a logarithm. + Parameters + ---------- + data : np.ndarray + Data with potential duplicates. + + Returns + ------- + np.ndarray + Data without duplicates. If no duplicates are found, no changes are made. """ diffs = np.diff(np.sort(data, axis=0), axis=0) diffs = np.where(diffs == 0, np.nan, diffs) diff --git a/infovar/stats/ranking.py b/infovar/stats/ranking.py index db19046..8d1daca 100644 --- a/infovar/stats/ranking.py +++ b/infovar/stats/ranking.py @@ -17,8 +17,27 @@ def prob_higher( pbar: bool=False, ) -> Union[np.ndarray, float]: """ - Returns the probability - Ref: https://stats.stackexchange.com/questions/44139/what-is-px-1x-2-x-1x-3-x-1x-n + Returns the probability of a given estimation (described by an estimated value and a standard deviation) to be the highest among all provided estimations. + The argument `idx` specifies the index of the estimation whose probability to be the highest has to be computed. If None, returns the probability for every provided estimation. + Source: https://stats.stackexchange.com/questions/44139/what-is-px-1x-2-x-1x-3-x-1x-n + + Parameters + ---------- + mus : np.ndarray + Estimates. + sigmas : np.ndarray + Uncertainty of estimates (1 sigma). + idx : Optional[int], optional + _description_, by default None + approx : bool, optional + If True, neglects estimates above three sigma. Default: True. + pbar : bool, optional + If True, displays a progress bar. Default: False + + Returns + ------- + Union[np.ndarray, float] + If `idx` is an integer, probability of the i-th estimate to be the highest. If `idx` is None, array of probability for each estimate. """ if not isinstance(mus, np.ndarray): mus = np.array(mus) diff --git a/infovar/stats/resampling.py b/infovar/stats/resampling.py index 9f1d594..5db6084 100644 --- a/infovar/stats/resampling.py +++ b/infovar/stats/resampling.py @@ -15,16 +15,31 @@ class Resampling(ABC): - def __init__(self): - pass - @abstractmethod def compute_sigma( self, variables: np.ndarray, targets: np.ndarray, - stat: Statistic + stat: Statistic, + **kwargs ) -> float: + """ + Estimates the standard deviation of the estimator `stat`. + + Parameters + ---------- + variables : np.ndarray + Variable data. Must be a 2D array. + targets : np.ndarray + Target data. Must be a 2D array with the same number of rows than `variables`. + stat : Statistic + Estimator whose variance is to be estimated. + + Returns + ------- + float + Estimate of estimator standard deviation. + """ pass class Bootstrapping(Resampling): @@ -36,9 +51,33 @@ def compute_sigma( stat: Statistic, n: int=10, ) -> float: - if n < 2: - return np.nan + """ + Estimates the standard deviation of the estimator `stat` using by bootstrap. This method permits to estimate the variance of an estimator for a given data distribution. It consists in creating new datasets from the same distribution by drawing with replacement samples from existing data. + + Parameters + ---------- + variables : np.ndarray + Variable data. Must be a 2D array. + targets : np.ndarray + Target data. Must be a 2D array with the same number of rows than `variables`. + stat : Statistic + Estimator whose variance is to be estimated. + n : int, optional + Number of bootstrap samples, by default 10 + + Returns + ------- + float + Estimate of estimator standard deviation. + """ + assert isinstance(variables, np.ndarray) and variables.ndim == 2 + assert isinstance(targets, np.ndarray) and targets.ndim == 2 assert variables.shape[0] == targets.shape[0] + assert isinstance(stat, Statistic) + + if n < 2: + raise ValueError(f"Number of different subset size `n` must be greater than or equal to 2 (here: {n})") + values = np.zeros(n) for i in range(n): idx = np.random.choice(variables.shape[0], variables.shape[0], replace=True) @@ -55,27 +94,63 @@ def compute_sigma( n: int=5, min_samples: int=20, min_subsets: int=5, - decades: float=2, - + decades: float=2 ) -> float: + """ + Estimates the standard deviation of the estimator `stat` using the approach proposed in Holmes, C. M., & Nemenman, I. (2019). It assumes that the variance of the estimator depends on the number of samples N as Var[stat](N) = B/N, with B being a parameter to be estimated that depends on the data distribution. + This function assumes that the previous relation is true for the given estimator and compute its variance for several number of samples N by subsampling the dataset. This permit to estimate the value of B. + + Parameters + ---------- + variables : np.ndarray + Variable data. Must be a 2D array. + targets : np.ndarray + Target data. Must be a 2D array with the same number of rows than `variables`. + stat : Statistic + Estimator whose variance is to be estimated. + n : int, optional + Number of different subset sizes, by default 5. + min_samples : int, optional + Minimum number of samples required for a subset, by default 20. + min_subsets : int, optional + Minimum number of subsets for a given subset size, by default 5. + decades : float, optional + Maximum orders of magnitude between the largest and smallest subset sizes, by default 2. + + Returns + ------- + float + Estimate of estimator standard deviation. + """ + assert isinstance(variables, np.ndarray) and variables.ndim == 2 + assert isinstance(targets, np.ndarray) and targets.ndim == 2 + assert variables.shape[0] == targets.shape[0] + assert isinstance(stat, Statistic) if n < 2: - return np.nan + raise ValueError(f"Number of different subset size `n` must be greater than or equal to 2 (here: {n})") + if min_samples > variables.shape[0]: + raise ValueError(f"Number of samples {variables.shape[0]} must be greater than or equal to `min_samples` ({min_samples})") - assert variables.shape[0] == targets.shape[0] N = variables.shape[0] + # Max subset size max_Ni = floor(N / min_subsets) + # Minimum subset size min_Ni = max(min_samples, 10**(-decades) * max_Ni) + # Defines subset sizes Nis = np.logspace(np.log10(min_Ni), np.log10(max_Ni), n).astype(int) + # Keep only distincts sizes (in case where the number of sample is not high enough to get `n` different sizes). Nis = np.unique(Nis) + # Check that there is enough subset sizes to estimate B if Nis.size < 2: return np.nan - ni_list = [] - sigma2_list = [] + # Random subsampling + ni_list = [] # List of number of subset for the different subset sizes + sigma2_list = [] # List of variances for the different subset sizes idx = list(range(N)) for Ni in Nis: - ni = floor(N / Ni) + ni = floor(N / Ni) # Number of subset ni_list.append(ni) shuffle(idx) mis = [] @@ -90,4 +165,5 @@ def compute_sigma( nis = np.array(ni_list) sigma2s = np.array(sigma2_list) + # Eq. (8) in Holmes, C. M., & Nemenman, I. (2019) return np.sqrt( np.sum((nis-1)/nis * sigma2s) / np.sum(nis - 1) ) diff --git a/infovar/stats/statistics.py b/infovar/stats/statistics.py index a349dfe..d3ce0dc 100644 --- a/infovar/stats/statistics.py +++ b/infovar/stats/statistics.py @@ -5,7 +5,7 @@ from .entropy_estimators import mi, centropy from .canonical_estimators import canonical_corr -from .info_theory import corr_to_info +from .info_theory import corr_to_info_gaussian_1d __all__ = [ "Statistic", @@ -188,7 +188,7 @@ def __call__( Estimated mutual information. """ rhos = canonical_corr(variables, targets, max=False) - return np.sum(corr_to_info(rhos)) + return np.sum(corr_to_info_gaussian_1d(rhos)) class GaussInfoReparam(Statistic): """ @@ -219,4 +219,4 @@ def __call__( _targets = MI.marginaly_gaussianize(targets) rhos = canonical_corr(_variables, _targets, max=False) - return np.sum(corr_to_info(rhos)) + return np.sum(corr_to_info_gaussian_1d(rhos)) diff --git a/pyproject.toml b/pyproject.toml index 7aa848a..80b9abb 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "infovar" -version = "0.2.0" +version = ["version"] authors = [ "Lucas Einig" ] @@ -17,7 +17,7 @@ classifiers = [ "Operating System :: OS Independent", ] repository = "https://github.com/einigl/infovar" - +packages=[{include="infovar"}] [tool.poetry.dependencies] python = ">=3.9" @@ -26,7 +26,7 @@ matplotlib = ">= 3.5" scipy = ">= 1.10" scikit-learn = ">= 1.1" notebook = ">= 6.4" -tqdm = ">= 4.62" +tqdm = ">= 4.66.3" jupyter = "^1.0.0" [tool.poetry.dev-dependencies] @@ -70,6 +70,9 @@ requests-mock = "^1.10.0" minversion = "6.0" addopts = "-ra -q -vv --cov=nnbma --cov-report=term-missing --cov-report=xml" testpaths = ["tests"] +markers = [ + "run: mark test order" +] # For other tools to be black compliant # https://black.readthedocs.io/en/stable/guides/using_black_with_other_tools.html diff --git a/tests/handlers/test_continuous_handler.py b/tests/handlers/test_continuous_handler.py index 69ebbd9..09cc9d3 100644 --- a/tests/handlers/test_continuous_handler.py +++ b/tests/handlers/test_continuous_handler.py @@ -198,7 +198,7 @@ def test_get_available(chandler: ContinuousHandler): @pytest.mark.run(after='test_get_available') def test_cleanup(chandler: ContinuousHandler): - chandler.delete_stats("y1", "mi", "x1") + chandler.delete_stats("x1", "y1", "mi") stats = chandler.get_available_stats("x1", "y1", ["y1"]) assert "mi" not in stats diff --git a/tests/handlers/test_discrete_handler.py b/tests/handlers/test_discrete_handler.py index 582032e..896df44 100644 --- a/tests/handlers/test_discrete_handler.py +++ b/tests/handlers/test_discrete_handler.py @@ -20,7 +20,7 @@ def dhandler() -> DiscreteHandler: dhandler = DiscreteHandler() dhandler.set_getter(getter.get) dhandler.set_restrictions({ - "all": {}, + "all": None, "neg": {"y": [None, 0]}, "pos": {"y": [0, None]} }) @@ -168,19 +168,19 @@ def test_get_available(dhandler: DiscreteHandler): assert len(res) == 1 res = dhandler.get_available_variables("y") assert len(res) == 3 - res = dhandler.get_available_restrictions("y", "x1") + res = dhandler.get_available_restrictions("x1", "y") assert len(res) == 3 - res = dhandler.get_available_restrictions("y", ["x1", "x2"]) + res = dhandler.get_available_restrictions(["x1", "x2"], "y") assert len(res) == 3 - res = dhandler.get_available_stats("y", "x1", "all") + res = dhandler.get_available_stats("x1", "y", "all") assert len(res) == 2 - res = dhandler.get_available_stats("y", ["x1", "x2"], "neg") + res = dhandler.get_available_stats(["x1", "x2"], "y", "neg") assert len(res) == 2 @pytest.mark.run(after='test_get_available') def test_cleanup(dhandler: DiscreteHandler): - dhandler.delete_stats("y", "mi") - stats = dhandler.get_available_stats("y", ["x1", "x2"], "all") + dhandler.delete_stats(None, "y", "mi") + stats = dhandler.get_available_stats(["x1", "x2"], "y", "all") assert "mi" not in stats dhandler.remove("y")