Releases: fact-project/aict-tools
Releases · fact-project/aict-tools
Fix bug in split_data
Merge pull request #46 from fact-project/fix_subsamples_in_split Fix subsamples in split
Warn about removed columns in disp_regressor
v0.7.1 Merge pull request #43 from fact-project/jebuss-theta-needs-to-be-cal…
Improvements to reproducibility and some early multi-telescope support
This allows setting random seeds to be used everywhere. The split_data script can now keep together telescope events that belong to the same array-wide event.
Improve Disp Regressor, update scikit-learn version, use h5py by default
- The disp regressor does not calculate theta anymore, to make analysis more flexibel
- Output columns are now
source_x_prediction
,source_y_prediction
anddisp_prediction
klaas_split_data
andklaas_apply_cuts
use h5py by default- Switch to sklearn 0.19.0
Disp Regressor
This release features two new klaas scripts
klaas_train_disp_regressor
klaas_apply_disp_regressor
To train models to predict the origin of gamma rays
Fix Helptexts And Dependencies
This release fixes the helptext in the klaas_apply_separation_model
command line utility and fixes the matplotlib depenedency to at least 2.0 for plotting bias and resolution.
First Release
Merge pull request #1 from fact-project/adapt_to_erna Adapt to erna