deepcut/deepcut.py
def _document_frequency(X):
    """
    Count the number of non-zero values for each feature in sparse X.
    """
    if sp.isspmatrix_csr(X):
        return np.bincount(X.indices, minlength=X.shape[1])
    return np.diff(sp.csc_matrix(X, copy=False).indptr)
def _document_frequency(X):
    """
    Count the number of non-zero values for each feature in sparse X.
    """
    if sp.isspmatrix_csr(X):
        return np.bincount(X.indices, minlength=X.shape[1])
    return np.diff(sp.csc_matrix(X, copy=False).indptr)
def _document_frequency ( X ) : if sp . isspmatrix_csr ( X ) : return np . bincount ( X . indices , minlength = X . shape [ 1 ] ) return np . diff ( sp . csc_matrix ( X , copy = False ) . indptr )
Count the number of non-zero values for each feature in sparse X.
Count the number of non - zero values for each feature in sparse X .