check_increasing#

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:

xarray-like of shape (n_samples,): Training data.
yarray-like of shape (n_samples,): Training target.

Returns:

increasing_boolboolean: Whether the relationship is increasing or decreasing.

Notes

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.

References

Fisher transformation. Wikipedia. https://en.wikipedia.org/wiki/Fisher_transformation

Examples

>>> from sklearn.isotonic import check_increasing
>>> x, y = [1, 2, 3, 4, 5], [2, 4, 6, 8, 10]
>>> check_increasing(x, y)
np.True_
>>> y = [10, 8, 6, 4, 2]
>>> check_increasing(x, y)
np.False_