PCA (Deedle)

PCA Module

Type	Description
t<'a>

Function or value	Description
`eigenValues pca` Full Usage: `eigenValues pca` Parameters: pca : `t<'a>` - The PCA transformation. Returns: `Series<string, float>`	The eigen values of the PCA transformation. pca : `t<'a>` The PCA transformation. Returns: `Series<string, float>`
`eigenVectors pca` Full Usage: `eigenVectors pca` Parameters: pca : `t<'a>` - The PCA transformation. Returns: `Frame<'a, string>`	The eigen vectors of the PCA transformation. pca : `t<'a>` The PCA transformation. Returns: `Frame<'a, string>`
`normalizeColumns df` Full Usage: `normalizeColumns df` Parameters: df : `Frame<'a, 'b>` - The dataframe to normalize Returns: `Frame<'a, 'b>`	Normalizes the columns in the dataframe using a z-score. That is (X - mean) / (std. dev) df : `Frame<'a, 'b>` The dataframe to normalize Returns: `Frame<'a, 'b>`
`pca dataFrame` Full Usage: `pca dataFrame` Parameters: dataFrame : `Frame<'a, 'b>` - A PCA datatype that contains the eigen values and vectors. Returns: `t<'b>`	Computes the principal components from the data frame. The principal components are listed from PC1 .. PCn Where PC1 explains most of the variance. dataFrame : `Frame<'a, 'b>` A PCA datatype that contains the eigen values and vectors. Returns: `t<'b>`