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  • Bug fixes for general core bugs in 3.11.x will end 14 Nov 2022 (12 months plus 6 months extension).
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Defines 1 class

UnivariateLinearRegression:: (4 methods):
  __construct()
  score()
  centerTargets()
  centerSamples()


Class: UnivariateLinearRegression  - X-Ref

Quick linear model for testing the effect of a single regressor,
sequentially for many regressors.

This is done in 2 steps:

1. The cross correlation between each regressor and the target is computed,
that is, ((X[:, i] - mean(X[:, i])) * (y - mean_y)) / (std(X[:, i]) *std(y)).
2. It is converted to an F score.

Ported from scikit-learn f_regression function (http://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html#sklearn.feature_selection.f_regression)
__construct(bool $center = true)   X-Ref

param: bool $center - if true samples and targets will be centered

score(array $samples, array $targets)   X-Ref
No description

centerTargets(array &$targets)   X-Ref
No description

centerSamples(array &$samples)   X-Ref
No description