sklearn.isotonic.check_increasing(x, y)
[source]
Determine whether y is monotonically correlated with x.
y is found increasing or decreasing with respect to x based on a Spearman correlation test.
Parameters: |
x : array-like, shape=(n_samples,) Training data. y : array-like, shape=(n_samples,) Training target. |
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Returns: |
`increasing_bool` : boolean Whether the relationship is increasing or decreasing. |
The Spearman correlation coefficient is estimated from the data, and the sign of the resulting estimate is used as the result.
In the event that the 95% confidence interval based on Fisher transform spans zero, a warning is raised.
Fisher transformation. Wikipedia. https://en.wikipedia.org/wiki/Fisher_transformation
© 2007–2016 The scikit-learn developers
Licensed under the 3-clause BSD License.
http://scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html