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* Point GradientBoosting towards HistGradientBoosting on docstrings * Point GradientBoosting towards HistGradientBoosting on examples * Avoid the GB acronym * Iter * Apply suggestion from lesteve * Apply suggestions from code review Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> * Format * Apply suggestions from code review Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> * Format Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org> Co-authored-by: Julien Jerphanion <git@jjerphan.xyz> |
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| .. | ||
| applications | ||
| bicluster | ||
| calibration | ||
| classification | ||
| cluster | ||
| compose | ||
| covariance | ||
| cross_decomposition | ||
| datasets | ||
| decomposition | ||
| ensemble | ||
| exercises | ||
| feature_selection | ||
| gaussian_process | ||
| impute | ||
| inspection | ||
| kernel_approximation | ||
| linear_model | ||
| manifold | ||
| miscellaneous | ||
| mixture | ||
| model_selection | ||
| multioutput | ||
| neighbors | ||
| neural_networks | ||
| preprocessing | ||
| release_highlights | ||
| semi_supervised | ||
| svm | ||
| text | ||
| tree | ||
| README.txt | ||
README.txt
.. _general_examples: Examples ========