lightautoml.ml_algo
Models used for machine learning pipelines.
Base Classes
Abstract class for machine learning algorithm. |
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Machine learning algorithms that accepts numpy arrays as input. |
Linear Models
LBFGS L2 regression based on torch. |
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Coordinate descent based on sklearn implementation. |
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Neural net for tabular datasets. |
Boosted Trees
Gradient boosting on decision trees from LightGBM library. |
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Gradient boosting on decision trees from catboost library. |
Neural Networks
Realisation of 'mlp' model. |
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Realisation of 'denselight' model. |
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Realisation of 'dense' model. |
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The ResNet model from https://github.com/Yura52/rtdl. |
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Realisation of 'snn' model. |
WhiteBox
WhiteBox - scorecard model. |