In particular, clarify for SGDClassifier, SGDRegressor, PassiveAggressiveClassifier and PassiveAggressiveRegressor how the attribute warm_start and the methods `fit` and `partial_fit` interact. Fixes #10011 |
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| .. | ||
| tests | ||
| __init__.py | ||
| base.py | ||
| bayes.py | ||
| cd_fast.pyx | ||
| coordinate_descent.py | ||
| huber.py | ||
| least_angle.py | ||
| logistic.py | ||
| omp.py | ||
| passive_aggressive.py | ||
| perceptron.py | ||
| randomized_l1.py | ||
| ransac.py | ||
| ridge.py | ||
| sag.py | ||
| sag_fast.pyx | ||
| setup.py | ||
| sgd_fast.pxd | ||
| sgd_fast.pyx | ||
| sgd_fast_helpers.h | ||
| stochastic_gradient.py | ||
| theil_sen.py | ||