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Developer Documentation
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Differences Between: [Versions 311 and 400] [Versions 311 and 401] [Versions 311 and 402] [Versions 311 and 403]
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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 |
