Releases: medoidai/skrobot
skrobot 1.0.13 release
Add DatasetCalculationTask to wrap featuretools calculate_feature_matrix()
Change examples to use DatasetCalculationTask
Update documentation
Use categorical columns in pandas examples
skrobot 1.0.12 release
- Fix problem of feature graph filenames (in case of Windows)
- Fix problem of long filenames in examples
- Upgrade to featuretools 0.23.0
skrobot 1.0.11 release
Fix Read The Docs documentation build by adding .readthedocs.yml
skrobot 1.0.10 release
Fix documentation, examples.
skrobot 1.0.9 release
Add DeepFeatureSynthesisTask
Add EmailNotifier
All tasks can retrieve also data as dataframes (instead only as URL/file path)
Add examples with DeepFeatureSynthesisTask
Upgrade dependencies
skrobot 1.0.8 release
Fix versionings in PyPI, Read the Docs, README.md, examples, etc
Also update all requirements.txt dependencies to latest.
skrobot 1.0.7 release
Add Sphinx documentation for the source.
The PredictionTask returns in the output also the model's probabilities.
skrobot 1.0.6 release
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The PredictionTask now works for probabilistic models and a threshold is provided (default value is 0.5)
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Metrics are now computed correctly
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Examples are re-generated
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The EvaluationCrossValidationTask now supports parameters threshold_selection_by and metric_greater_is_better for selecting the best threshold based either on a threshold or a metric
skrobot 1.0.5 release
Update dependencies to latest version.
scikit-learn==0.23.1
joblib==0.16.0
numpy==1.19.1
pandas==1.0.5
numpyencoder==0.2.0
plotly==4.9.0
stringcase==1.2.0
scikit-plot==0.3.7
matplotlib==3.3.0
skrobot 1.0.4 release
• PredictionTask class is added
• Source code file path is now optional and can be given with set_source_code_file_path() in Experiment class
• Accuracy metric is added in HyperParametersSearchCrossValidationTask class
• Changes in examples