eigenValues(pca)
Signature: pca:t<'?694182> -> Series<string,float>
Type parameters: '?694182
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The eigen values of the PCA transformation.
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eigenVectors(pca)
Signature: pca:t<'?694184> -> Frame<'?694184,string>
Type parameters: '?694184
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The eigen vectors of the PCA transformation.
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normalizeColumns(df)
Signature: df:Frame<'a,'b> -> Frame<'a,'b>
Type parameters: 'a, 'b
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Normalizes the columns in the dataframe using a z-score.
That is (X - mean) / (std. dev)
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pca(dataFrame)
Signature: dataFrame:Frame<'?694193,'?694194> -> t<'?694194>
Type parameters: '?694193, '?694194
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Computes the principal components from the data frame.
The principal components are listed from PC1 .. PCn
Where PC1 explains most of the variance.
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