The following options are supported.
Option name |
Type |
Default |
Description |
Constraints |
|---|---|---|---|---|
degrees of freedom |
string |
\(s=\) unbiased |
Whether to use biased or unbiased estimators for standard deviations and variances. |
\(s=\) biased, or unbiased. |
pca method |
string |
\(s=\) covariance |
Compute PCA based on the covariance or correlation matrix. |
\(s=\) correlation, covariance, or svd. |
whiten |
integer |
\(i=0\) |
Whether or not we whiten when transforming the data. |
\(0 \le i \le 1\) |
store u |
integer |
\(i=0\) |
Whether or not to store the matrix U from the SVD. |
\(0 \le i \le 1\) |
n_components |
integer |
\(i=1\) |
Number of principal components to compute. If 0, then all components will be kept. |
\(0 \le i\) |
svd solver |
string |
\(s=\) auto |
Which LAPACK routine to use for the underlying singular value decomposition. |
\(s=\) auto, gesdd, gesvd, gesvdx, or syevd. |
check data |
string |
\(s=\) no |
Check input data for NaNs prior to performing computation. |
\(s=\) no, or yes. |
storage order |
string |
\(s=\) column-major |
Whether data is supplied and returned in row- or column-major order. |
\(s=\) c, column-major, f, fortran, or row-major. |