sklr.base.LabelRankerMixin¶
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class
sklr.base.LabelRankerMixin[source]¶ Mixin class for all label rankers in scikit-lr.
Methods
score(X, Y[, sample_weight])Return the mean Kendall rank correlation coefficient \(\tau\) on the given test data and rankings.
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score(X, Y, sample_weight=None)[source]¶ Return the mean Kendall rank correlation coefficient \(\tau\) on the given test data and rankings.
- Parameters
X (array-like of shape (n_samples, n_features)) – The test samples.
Y (array-like of shape (n_samples, n_classes)) – The true rankings for
X.sample_weight (array-like of shape (n_samples,), default=None) – The sample weights. If
None, then samples are equally weighted.
- Returns
score – The mean Kendall rank correlation coefficient \(\tau\) of
self.predict(X)with respect toY.- Return type
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