(self, pca_params_npz_path)
Constructs a postprocessor.

    Args:
      pca_params_npz_path: Path to a NumPy-format .npz file that
        contains the PCA parameters used in postprocessing.
Constructs a postprocessor.
Constructs a postprocessor .
def __init__(self, pca_params_npz_path):
    """Constructs a postprocessor.

    Args:
      pca_params_npz_path: Path to a NumPy-format .npz file that
        contains the PCA parameters used in postprocessing.
    """
    params = np.load(pca_params_npz_path)
    self._pca_matrix = params[vggish_params.PCA_EIGEN_VECTORS_NAME]
    # Load means into a column vector for easier broadcasting later.
    self._pca_means = params[vggish_params.PCA_MEANS_NAME].reshape(-1, 1)
    assert self._pca_matrix.shape == (
        vggish_params.EMBEDDING_SIZE, vggish_params.EMBEDDING_SIZE), (
            'Bad PCA matrix shape: %r' % (self._pca_matrix.shape,))
    assert self._pca_means.shape == (vggish_params.EMBEDDING_SIZE, 1), (
        'Bad PCA means shape: %r' % (self._pca_means.shape,))
def __init__ ( self , pca_params_npz_path ) : params = np . load ( pca_params_npz_path ) self . _pca_matrix = params [ vggish_params . PCA_EIGEN_VECTORS_NAME ] # Load means into a column vector for easier broadcasting later. self . _pca_means = params [ vggish_params . PCA_MEANS_NAME ] . reshape ( - 1 , 1 ) assert self . _pca_matrix . shape == ( vggish_params . EMBEDDING_SIZE , vggish_params . EMBEDDING_SIZE ) , ( 'Bad PCA matrix shape: %r' % ( self . _pca_matrix . shape , ) ) assert self . _pca_means . shape == ( vggish_params . EMBEDDING_SIZE , 1 ) , ( 'Bad PCA means shape: %r' % ( self . _pca_means . shape , ) )