sgkit.variables.sample_pca_component_spec

sgkit.variables.sample_pca_component_spec = ArrayLikeSpec(default_name='sample_pca_component', __doc__='Principal axes defined as eigenvectors for sample covariance matrix.\nIn the context of SVD, these are equivalent to the right singular vectors in\nthe decomposition of a (N, M) matrix., i.e. ``dask_ml.decomposition.TruncatedSVD.components_``.', kind='f', ndim=2, dims=('variants', 'components'))

Principal axes defined as eigenvectors for sample covariance matrix. In the context of SVD, these are equivalent to the right singular vectors in the decomposition of a (N, M) matrix., i.e. dask_ml.decomposition.TruncatedSVD.components_.