Releases: fact-project/aict-tools
Releases · fact-project/aict-tools
v0.18.1
v0.18.1
- Add support for most sklearn models, before only
sklearn.ensemble
was supported
v0.18.0
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
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
v0.16.3
Add optional support for serializing models into the onnx format.
v0.16.1
v0.16.1
Switch from pyyaml to ruamel.yaml
v0.16.0
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
v0.14.0
Add chunked version of split_data
for single telescope h5py files to deal with larger than memory files.
v0.13.1
aict-tools v0.13.1
- Add long description and classifiers for PyPI
v0.13.0
aict-tools v0.13.0
- Publish to PyPI
- Require scikit-learn 0.20.*
- Fix progress bars
Fix Read/Write mode when opening files.
Fixes an issue where files would not get opened in read-only mode essentially breaking make files.