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Commits on Jan 25, 2025

• add multidimensional full interaction detection

  paulbkoch

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Commits on Jan 17, 2025

• fix size_t conversion issue that was failing to build on some compilers in the sdist

  paulbkoch

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  2daf538

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Commits on Jan 13, 2025

• add TabPFN to benchmarks

  paulbkoch

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Commits on Dec 31, 2024

• add options to turn off categorical sorting and sorting by gradients (not updates)

  paulbkoch

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Commits on Dec 30, 2024

• add ability to specify development options in the EBM benchmarking notebook

  paulbkoch

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Commits on Dec 24, 2024

• Bump jinja2 from 3.1.4 to 3.1.5 in /docs in the pip group (#593)

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Commits on Dec 18, 2024

• rename unknown -> unseen since unseen is less likely to be confused with missing values

  paulbkoch

  committed
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Commits on Dec 15, 2024

• add extra level of pointer indirection to main tree building

  paulbkoch

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Commits on Dec 7, 2024

• add option to filter on specific methods and change to RMSE metric on per-dataset table in benchmarks

  paulbkoch

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Commits on Dec 6, 2024

• correct the intercept to minimize the error on the final model

  paulbkoch

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Commits on Nov 27, 2024

• Bump tornado from 6.4.1 to 6.4.2 in /docs (#587)

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Commits on Nov 26, 2024

• remove python 3.8 support and increase numpy to 1.25

  paulbkoch

  committed
  074a25d

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Commits on Nov 20, 2024

• rename pred_from_base_models_with_uncertainty to predict_with_uncertainty and add init_score

  paulbkoch

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Commits on Nov 19, 2024

• improvements to documentation

  paulbkoch

  committed
  5fbea8c

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Commits on Nov 12, 2024

• update benchmark notebook to work with current powerlift interface

  paulbkoch

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  947104a

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Commits on Oct 22, 2024

• update importance order of hyperparameters

  paulbkoch

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Commits on Oct 21, 2024

• set max_leaves to 3 for classification

  paulbkoch

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  a5f41ea

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• changes to default EBM parameters

  paulbkoch

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Commits on Oct 19, 2024

• improved learning rate parameter

  paulbkoch

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Commits on Oct 18, 2024

• optimize learning_rate parameter

  paulbkoch

  committed
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Commits on Oct 16, 2024

• decrease default early_stopping_rounds for better fitting times at little cost to model performance and remove isolet and mnist_784 from the default datasets in the benchmarks

  paulbkoch

  committed
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Commits on Oct 15, 2024

• set early_stopping_tolerance back to zero since it does improve the models

  paulbkoch

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  b1c961c

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• more EBM default parameter tweaks

  paulbkoch

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Commits on Oct 14, 2024

• improve EBM default parameters

  paulbkoch

  committed
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Commits on Oct 11, 2024

• remove Devnagari-Script from benchmarks for now since it just takes too long

  paulbkoch

  committed
  b17f9b5

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Commits on Oct 10, 2024

• small tweaks to benchmark notebook

  paulbkoch

  committed
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Commits on Oct 7, 2024

• retry all steps during self delete if the delete was not successful and change self-delete permission assignment to happen during container creation and update benchmarks to set more random seeds

  paulbkoch

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Commits on Sep 27, 2024

• improve filtering of datasets in benchmarks

  paulbkoch

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Commits on Sep 24, 2024

• add benchmark filtering for problem type

  paulbkoch

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Commits on Sep 23, 2024

• updated documentation on ebm parameters

  paulbkoch

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  3fdc255

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Commits on Sep 18, 2024

• add OVR AUC metric to benchmarks

  paulbkoch

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Commits on Sep 16, 2024

• add more filtering options to the benchmark notebook

  paulbkoch

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• group results by type (binary, multiclass, regression) in benchmark notebook

  paulbkoch

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Commits on Sep 14, 2024

• change benchmark notebook to use lower metric is better semantics and use AUC for ranking

  paulbkoch

  committed
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Commits on Sep 12, 2024

• add more metrics and more OOM sampling

  paulbkoch

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