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[doc][minor] VotingClassifier predict / predict_proba docstrings #12994

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[doc][minor] VotingClassifier predict / predict_proba docstrings#12994
#13004
@agamemnonc

Description

@agamemnonc
agamemnonc
opened on Jan 16, 2019

Description

The X argument in the predict and predict_proba methods is described as "training vectors".

scikit-learn/sklearn/ensemble/voting_classifier.py

Lines 215 to 223 in 7389dba

def predict(self, X):
""" Predict class labels for X.
Parameters
----------
X : {array-like, sparse matrix}, shape = [n_samples, n_features]
Training vectors, where n_samples is the number of samples and
n_features is the number of features.

scikit-learn/sklearn/ensemble/voting_classifier.py

Lines 259 to 267 in 7389dba

@property
def predict_proba(self):
"""Compute probabilities of possible outcomes for samples in X.
Parameters
----------
X : {array-like, sparse matrix}, shape = [n_samples, n_features]
Training vectors, where n_samples is the number of samples and
n_features is the number of features.

Steps/Code to Reproduce

Look at the code above.

Expected Results

E.g. same as in

scikit-learn/sklearn/linear_model/base.py

Lines 200 to 207 in 7389dba

def predict(self, X):
"""Predict using the linear model
Parameters
----------
X : array_like or sparse matrix, shape (n_samples, n_features)
Samples.

Actual Results

Wrong X description.

Versions

n/a

TODO

Happy to submit a PR.

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