a044744884271f82465dfd2ddd04fe37870da51c,python/mxnet/ndarray/numpy/linalg.py,,lstsq,#Any#Any#Any#,74

Before Change

    if rcond is None:
        rcond = _np.finfo(a.dtype).eps
        new_default = True
    if rcond == "warn":
        rcond = -1
    x, residuals, rank, s = _npi.lstsq(a, b, rcond=rcond, new_default=new_default)
    return (x, residuals, rank, s)

After Change

    >>> m, c
    (1.0 -0.95) // may vary
    
    finfo_eps_32 = _np.finfo(_np.float32).eps
    finfo_eps_64 = _np.finfo(_np.float64).eps
    x, residuals, rank, s = _api_internal.lstsq(a, b, rcond, finfo_eps_32, finfo_eps_64)
    return (x, residuals, rank, s)

Instances