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0.3.0 - 2022-07-31

This release switches from MLPrimitives to ml-stars. Moreover, we remove all pipelines using deep feature synthesis.

  • Update demo bucket - Issue #76 by @sarahmish
  • Remove dfs based pipelines - Issue #73 by @sarahmish
  • Move from MLPrimitives to ml-stars - Issue #72 by @sarahmish

0.2.0 - 2022-04-12

This release features a reorganization and renaming of Draco pipelines. In addtion, we update some of the dependencies for general housekeeping.

  • Update Draco dependencies - Issue #66 by @sarahmish
  • Reorganize pipelines - Issue #63 by @sarahmish

0.1.0 - 2022-01-01

  • First release on draco-ml PyPI

Previous GreenGuard development

0.3.0 - 2021-01-22

This release increases the supported version of python to 3.8 and also includes changes in the installation requirements, where pandas and scikit-optimize packages have been updated to support higher versions. This changes come together with the newer versions of MLBlocks and MLPrimitives.

Internal Improvements

  • Fix run_benchmark generating properly the init_hyperparameters for the pipelines.
  • New FPR metric.
  • New roc_auc_score metric.
  • Multiple benchmarking metrics allowed.
  • Multiple tpr or threshold values allowed for the benchmark.

0.2.6 - 2020-10-23

  • Fix mkdir when exporting to csv file the benchmark results.
  • Intermediate steps for the pipelines with demo notebooks for each pipeline.

Resolved Issues

  • Issue #50: Expose partial outputs and executions in the GreenGuardPipeline.

0.2.5 - 2020-10-09

With this release we include:

  • run_benchmark: A function within the module benchmark that allows the user to evaluate templates against problems with different window size and resample rules.
  • summarize_results: A function that given a csv file generates a xlsx file with a summary tab and a detailed tab with the results from run_benchmark.

0.2.4 - 2020-09-25

  • Fix dependency errors

0.2.3 - 2020-08-10

  • Added benchmarking module.

0.2.2 - 2020-07-10

Internal Improvements

  • Added github actions.

Resolved Issues

  • Issue #27: Cache Splits pre-processed data on disk

0.2.1 - 2020-06-16

With this release we give the possibility to the user to specify more than one template when creating a GreenGuardPipeline. When the tune method of this is called, an instance of BTBSession is returned and it is in charge of selecting the templates and tuning their hyperparameters until achieving the best pipeline.

Internal Improvements

  • Resample by filename inside the CSVLoader to avoid oversampling of data that will not be used.
  • Select targets now allows them to be equal.
  • Fixed the csv filename format.
  • Upgraded to BTB.

Bug Fixes

  • Issue #33: Wrong default datetime format

Resolved Issues

  • Issue #35: Select targets is too strict
  • Issue #36: resample by filename inside csvloader
  • Issue #39: Upgrade BTB
  • Issue #41: Fix CSV filename format

0.2.0 - 2020-02-14

First stable release:

  • efficient data loading and preprocessing
  • initial collection of dfs and lstm based pipelines
  • optimized pipeline tuning
  • documentation and tutorials

0.1.0

  • First release on PyPI