Python/OLS/ols_example/linalg.py
def is_invertible(arr, strength='condition'):
    """
    Function to return True is matrix is safely invertible and
    False is the matrix is not safely invertable.
    """
    if strength == 'cramer':
        return np.linalg.det(arr) == 0.0
    if strength == 'rank':
        return arr.shape[0] == arr.shape[1] and np.linalg.matrix_rank(arr) == arr.shape[0]
    return 1.0 / np.linalg.cond(arr) >= sys.float_info.epsilon

    Function to return True is matrix is safely invertible and
    False is the matrix is not safely invertable.
    
Function to return True is matrix is safely invertible and
False is the matrix is not safely invertable.
Function to return True is matrix is safely invertible and False is the matrix is not safely invertable .
def is_invertible(arr, strength='condition'):
    if strength == 'cramer':
        return np.linalg.det(arr) == 0.0
    if strength == 'rank':
        return arr.shape[0] == arr.shape[1] and np.linalg.matrix_rank(arr) == arr.shape[0]
    return 1.0 / np.linalg.cond(arr) >= sys.float_info.epsilon
def is_invertible ( arr , strength = 'condition' ) : if strength == 'cramer' : return np . linalg . det ( arr ) == 0.0 if strength == 'rank' : return arr . shape [ 0 ] == arr . shape [ 1 ] and np . linalg . matrix_rank ( arr ) == arr . shape [ 0 ] return 1.0 / np . linalg . cond ( arr ) >= sys . float_info . epsilon
Function to return True is matrix is safely invertible and
False is the matrix is not safely invertable.
Function to return True is matrix is safely invertible and False is the matrix is not safely invertable .
"""
    Function to return True is matrix is safely invertible and
    False is the matrix is not safely invertable.
    """
arr
strength