Nikita Titov
cd6d058386
* bring consistency and clearness into early_stopping_rounds desc, metric desc and implementation * hotfix * hotfix * used NDCG as default metric for lambdarank task * fixed missed methods at ReadTheDocs and changed default eval_metric * leaved only unique metrics * fixed comment
70 lines
1.1 KiB
ReStructuredText
70 lines
1.1 KiB
ReStructuredText
Python API
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==========
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Data Structure API
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------------------
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.. autoclass:: lightgbm.Dataset
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:members:
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:show-inheritance:
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.. autoclass:: lightgbm.Booster
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:members:
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:show-inheritance:
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Training API
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------------
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.. autofunction:: lightgbm.train
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.. autofunction:: lightgbm.cv
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Scikit-learn API
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----------------
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.. autoclass:: lightgbm.LGBMModel
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:members:
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:inherited-members:
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:show-inheritance:
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.. autoclass:: lightgbm.LGBMClassifier
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:members:
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:inherited-members:
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:show-inheritance:
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.. autoclass:: lightgbm.LGBMRegressor
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:members:
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:inherited-members:
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:show-inheritance:
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.. autoclass:: lightgbm.LGBMRanker
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:members:
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:inherited-members:
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:show-inheritance:
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Callbacks
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---------
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.. autofunction:: lightgbm.early_stopping
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.. autofunction:: lightgbm.print_evaluation
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.. autofunction:: lightgbm.record_evaluation
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.. autofunction:: lightgbm.reset_parameter
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Plotting
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--------
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.. autofunction:: lightgbm.plot_importance
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.. autofunction:: lightgbm.plot_metric
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.. autofunction:: lightgbm.plot_tree
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.. autofunction:: lightgbm.create_tree_digraph
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