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Releases: fact-project/aict-tools

v0.18.1

17 Sep 15:17
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v0.18.1

  • Add support for most sklearn models, before only sklearn.ensemble was supported

v0.18.0

02 Sep 13:09
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v0.18.0

  • Update to sklearn ~0.21.0, use joblib directly (fixes sklearn's DeprecationWarning)
  • Improve feature importance plot
  • Add citing instructions

v0.17.0

16 Jul 12:54
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v0.17.0

  • Enable zenodo doi
  • Refactored IO, removed the already sparse support for csv completely
  • Testing pmml on travis
  • Improved log output

Merged PRs:

  • ade81cb Merge pull request #78 from fact-project/tables_compability
  • b6a41f3 Merge pull request #87 from fact-project/logging
  • c087f54 Merge pull request #88 from fact-project/enable_pmml
  • f930c2a Merge pull request #89 from fact-project/zenodo

v0.16.3

27 Jun 14:02
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v0.16.3

Add optional support for serializing models into the onnx format.

v0.16.1

21 May 13:13
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v0.16.1

Switch from pyyaml to ruamel.yaml

v0.16.0

16 May 13:02
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v0.16.0

  • Add random source position sampling for theta calculation in fact_to_dl3
  • Write the samplefraction into files created by split_data and copy it in fact_to_dl3 if present

Merged PRs

  • Merge pull request #81 from fact-project/add_sample_fraction
  • Merge pull request #80 from fact-project/random_source

v0.14.0

29 Apr 10:33
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v0.14.0

Add chunked version of split_data for single telescope h5py files to deal with larger than memory files.

v0.13.1

08 Jan 14:32
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aict-tools v0.13.1

  • Add long description and classifiers for PyPI

v0.13.0

08 Jan 13:42
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aict-tools v0.13.0

  • Publish to PyPI
  • Require scikit-learn 0.20.*
  • Fix progress bars

Fix Read/Write mode when opening files.

04 Jul 11:11
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Fixes an issue where files would not get opened in read-only mode essentially breaking make files.