$counts (defined in Phpml\DimensionReduction\LDA) | Phpml\DimensionReduction\LDA | |
$eigValues | Phpml\DimensionReduction\EigenTransformerBase | protected |
$eigVectors | Phpml\DimensionReduction\EigenTransformerBase | protected |
$fit (defined in Phpml\DimensionReduction\LDA) | Phpml\DimensionReduction\LDA | |
$labels (defined in Phpml\DimensionReduction\LDA) | Phpml\DimensionReduction\LDA | |
$means (defined in Phpml\DimensionReduction\LDA) | Phpml\DimensionReduction\LDA | |
$numFeatures | Phpml\DimensionReduction\EigenTransformerBase | |
$overallMean (defined in Phpml\DimensionReduction\LDA) | Phpml\DimensionReduction\LDA | |
$totalVariance | Phpml\DimensionReduction\EigenTransformerBase | |
__construct(?float $totalVariance=null, ?int $numFeatures=null) | Phpml\DimensionReduction\LDA | |
calculateClassCov() | Phpml\DimensionReduction\LDA | protected |
calculateClassVar(array $data, array $classes) | Phpml\DimensionReduction\LDA | protected |
calculateMeans(array $data, array $classes) | Phpml\DimensionReduction\LDA | protected |
calculateVar(array $row, array $means) | Phpml\DimensionReduction\LDA | protected |
eigenDecomposition(array $matrix) | Phpml\DimensionReduction\EigenTransformerBase | protected |
fit(array $data, array $classes) | Phpml\DimensionReduction\LDA | |
getLabels(array $classes) | Phpml\DimensionReduction\LDA | protected |
reduce(array $data) | Phpml\DimensionReduction\EigenTransformerBase | protected |
transform(array $sample) | Phpml\DimensionReduction\LDA | |