8000 [MRG] Updated documentation of fit() for X type in gradient_boosting.py by vivekk0903 · Pull Request #12022 · scikit-learn/scikit-learn · GitHub
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[MRG] Updated documentation of fit() for X type in gradient_boosting.py #12022

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Sep 6, 2018
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[MRG] Updated documentation of fit() for X type in gradient_boosting.py #12022

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7 changes: 4 additions & 3 deletions sklearn/ensemble/gradient_boosting.py
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Expand Up @@ -1358,9 +1358,10 @@ def fit(self, X, y, sample_weight=None, monitor=None):

Parameters
----------
X : array-like, shape (n_samples, n_features)
Training vectors, where n_samples is the number of samples
and n_features is the number of features.
X : {array-like, sparse matrix}, shape (n_samples, n_features)
The input samples. Internally, it will be converted to
``dtype=np.float32`` and if a sparse matrix is provided
to a sparse ``csr_matrix``.

y : array-like, shape (n_samples,)
Target values (strings or integers in classification, real numbers
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