From bb7fd06e81046437ee69b0336d02db7aa681e6be Mon Sep 17 00:00:00 2001 From: zStupan Date: Wed, 20 Apr 2022 11:32:10 +0200 Subject: [PATCH 1/3] Add visualization test --- niaarm/tests/test_data/README.md | 2 + .../test_data/sportydatagen_generated.csv | 701 ++++++++++++++++++ niaarm/tests/test_visualization.py | 51 ++ niaarm/visualize.py | 4 +- 4 files changed, 756 insertions(+), 2 deletions(-) create mode 100644 niaarm/tests/test_data/sportydatagen_generated.csv create mode 100644 niaarm/tests/test_visualization.py diff --git a/niaarm/tests/test_data/README.md b/niaarm/tests/test_data/README.md index f096068..9ab5c47 100644 --- a/niaarm/tests/test_data/README.md +++ b/niaarm/tests/test_data/README.md @@ -3,3 +3,5 @@ - The Abalone dataset is downloaded from https://archive.ics.uci.edu/ml/index.php. - The wiki_test_case dataset is composed from the first Table found in: https://en.wikipedia.org/wiki/Lift_(data_mining) + +- SpotyDataGen - Iztok Fister Jr., Grega Vrbančič, Lucija Brezočnik, Vili Podgorelec, Iztok Fister. [SportyDataGen: an online generator of endurance sports activity collections](http://iztok-jr-fister.eu/static/publications/225.pdf). In: CECIIS: Central European Conference on Information and Intelligent Systems, pp. 171-178, 2018. diff --git a/niaarm/tests/test_data/sportydatagen_generated.csv b/niaarm/tests/test_data/sportydatagen_generated.csv new file mode 100644 index 0000000..123c278 --- /dev/null +++ b/niaarm/tests/test_data/sportydatagen_generated.csv @@ -0,0 +1,701 @@ +duration,distance,average_hr,average_altitude,max_altitude,calories,ascent,descent +54.0,8.869410156,117,418.3103138,483.2000122,374,245.8000183,208.2000122 +54.43333333,14.19421973,122,477.5547162,529.4000244,316,122.0002441,86.40023804 +67.63333333,24.59965039,149,98.83924418,223.1999969,499,357.7999897,349.3999901 +70.41666667,0.0,117,94.38214476,94.80000305,473,0.800003052,2.800003052 +74.13333333,17.48390039,97,125.3543787,175.6000061,263,107.0,112.7999954 +52.38333333,17.53968945,118,742.4507795,800.7999878,374,328.3999023,329.999939 +74.73333333,18.76351953,121,262.2846688,368.3999939,380,270.2002869,320.6002808 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Dataset(os.path.join(os.path.dirname(__file__), 'test_data', 'sportydatagen_generated.csv')) + self.transactions = sporty.transactions + antecedent = [ + Feature('duration', 'float', 46.9530354402242, 65.87258373112326), + Feature('distance', 'float', 26.23676635110497, 53.29979966985809), + Feature('average_hr', 'float', 104.1241905565174, 141.39599912527686), + Feature('average_altitude', 'float', 17.587384648223903, 547.0467243284303), + ] + + consequent = [ + Feature('calories', 'float', 1096.8185894801436, 1209.0), + Feature('ascent', 'float', 0.0, 74.19297690681586), + Feature('descent', 'float', 0.0, 623.8817163897467), + ] + + self.rule = Rule(antecedent, consequent) + + def test_hill_slopes(self): + support = np.array([0.934286, 0.847143, 0.74, 0.561429, 0.244286, 0.225714, 0.00714286]) + confidence = np.array([0.934286, 0.847095, 0.753823, 0.570336, 0.261468, 0.224771, 0.00458716]) + length = np.array([1.32128, 1.19801, 1.05634, 0.800303, 0.357828, 0.318542, 0.00848896]) + position = np.array([0.66064, 2.76738, 4.64837, 6.14703, 6.98756, 7.55052, 7.71862]) + + s = (length + support + confidence) / 2 + a = np.sqrt(s * (s - length) * (s - support) * (s - confidence)) + height = 2 * a / length + x = np.sqrt(support ** 2 - height ** 2) + + vec = np.concatenate((-length / 2, -length / 2 + x, length / 2)) + vec = (vec.reshape(3, 7) + position).T.reshape(len(vec)) + + height = np.concatenate((height, np.zeros(len(vec) - 7))) + height = np.reshape(height, (3, 7)).T.reshape(len(vec)) + height = np.concatenate((np.zeros(1), height))[:len(vec)] + + _, ax1 = hill_slopes(self.rule, self.transactions) + _, ax2 = _ribbon(vec, height) + ax1_xx, ax1_yy, ax1_zz, _ = ax1.collections[0]._vec + ax2_xx, ax2_yy, ax2_zz, _ = ax2.collections[0]._vec + self.assertTrue(np.allclose(ax1_xx, ax2_xx)) + self.assertTrue(np.allclose(ax1_yy, ax2_yy)) + self.assertTrue(np.allclose(ax1_zz, ax2_zz)) diff --git a/niaarm/visualize.py b/niaarm/visualize.py index 65e6dd3..b538ba7 100644 --- a/niaarm/visualize.py +++ b/niaarm/visualize.py @@ -79,7 +79,7 @@ def hill_slopes(rule, transactions): height = np.reshape(height, (3, num_features)).T.reshape(len(vec)) height = np.concatenate((np.zeros(1), height))[:len(vec)] - fig, ax = ribbon(vec, height) + fig, ax = _ribbon(vec, height) ax.set_ylabel('Location') ax.set_yticks(range(num_features + 1)) ax.set_yticklabels(range(num_features + 1)) @@ -88,7 +88,7 @@ def hill_slopes(rule, transactions): return fig, ax -def ribbon(x, z, width=0.5): +def _ribbon(x, z, width=0.5): fig, ax = plt.subplots(subplot_kw={'projection': '3d'}) xi = np.linspace(x[:-1], x[1:], num=100, axis=1).flatten() From dcf94ce4b349066809340c1ea0e0dfd969d59350 Mon Sep 17 00:00:00 2001 From: zStupan Date: Wed, 20 Apr 2022 11:57:03 +0200 Subject: [PATCH 2/3] Update README.md --- .github/{logo => images}/LICENSE | 0 .github/{logo => images}/NiaARM.eps | Bin .github/{logo => images}/NiaARM.pdf | Bin .github/{logo => images}/NiaARM.svg | 0 .github/{logo => images}/README.md | 0 .github/images/hill_slopes.png | Bin 0 -> 191698 bytes .github/{logo => images}/logo.png | Bin README.md | 26 +++++++++++++++++++++++++- 8 files changed, 25 insertions(+), 1 deletion(-) rename .github/{logo => images}/LICENSE (100%) rename .github/{logo => images}/NiaARM.eps (100%) rename .github/{logo => images}/NiaARM.pdf (100%) rename .github/{logo => images}/NiaARM.svg (100%) rename .github/{logo => images}/README.md (100%) create mode 100644 .github/images/hill_slopes.png rename .github/{logo => images}/logo.png (100%) diff --git a/.github/logo/LICENSE b/.github/images/LICENSE similarity index 100% rename from .github/logo/LICENSE rename to .github/images/LICENSE diff --git a/.github/logo/NiaARM.eps b/.github/images/NiaARM.eps similarity index 100% rename from .github/logo/NiaARM.eps rename to .github/images/NiaARM.eps diff --git a/.github/logo/NiaARM.pdf b/.github/images/NiaARM.pdf similarity index 100% rename from .github/logo/NiaARM.pdf rename to 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b/.github/images/logo.png similarity index 100% rename from .github/logo/logo.png rename to .github/images/logo.png diff --git a/README.md b/README.md index 506f341..e7be6ef 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,5 @@

- logo + logo

--- @@ -28,6 +28,7 @@ The current version includes (but is not limited to) the following functions: - searching for association rules, - providing output of mined association rules, - generating statistics about mined association rules. +- visualization of association rules ## Installation @@ -135,6 +136,25 @@ problem.rules.sort() problem.rules.to_csv('output.csv') ``` +### Visualization + +The framework currently supports the hill slopes visualization method presented in [4]. + +```python +from matplotlib import pyplot as plt +from niaarm.visualize import hill_slopes + +# load data... +# mine rules... + +hill_slopes(rule, dataset.transactions) +plt.show() +``` +

+ logo +

+ + For a full list of examples see the [examples folder](https://github.com/firefly-cpp/NiaARM/tree/main/examples) in the GitHub repository. @@ -190,6 +210,10 @@ Ideas are based on the following research papers: [3] I. Fister Jr., I. Fister [A brief overview of swarm intelligence-based algorithms for numerical association rule mining](https://arxiv.org/abs/2010.15524). arXiv preprint arXiv:2010.15524 (2020). +[4] Fister, I. et al. (2020). Visualization of Numerical Association Rules by Hill Slopes. + In: Analide, C., Novais, P., Camacho, D., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2020. + IDEAL 2020. Lecture Notes in Computer Science(), vol 12489. Springer, Cham. https://doi.org/10.1007/978-3-030-62362-3_10 + ## License This package is distributed under the MIT License. This license can be found online at . From 207cf212bde87057bc7640bbf4b4b501ecf332ae Mon Sep 17 00:00:00 2001 From: zStupan Date: Wed, 20 Apr 2022 11:58:21 +0200 Subject: [PATCH 3/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index e7be6ef..9e507df 100644 --- a/README.md +++ b/README.md @@ -151,7 +151,7 @@ hill_slopes(rule, dataset.transactions) plt.show() ```

- logo + logo