diff options
Diffstat (limited to 'numpy/polynomial/_polybase.py')
| -rw-r--r-- | numpy/polynomial/_polybase.py | 15 |
1 files changed, 6 insertions, 9 deletions
diff --git a/numpy/polynomial/_polybase.py b/numpy/polynomial/_polybase.py index 59c380f10..5525b232b 100644 --- a/numpy/polynomial/_polybase.py +++ b/numpy/polynomial/_polybase.py @@ -694,7 +694,7 @@ class ABCPolyBase(abc.ABC): Returns ------- new_series : series - Contains the new set of coefficients. + New instance of series with trimmed coefficients. """ coef = pu.trimcoef(self.coef, tol) @@ -757,9 +757,6 @@ class ABCPolyBase(abc.ABC): Conversion between domains and class types can result in numerically ill defined series. - Examples - -------- - """ if kind is None: kind = self.__class__ @@ -939,11 +936,11 @@ class ABCPolyBase(abc.ABC): diagnostic information from the singular value decomposition is also returned. w : array_like, shape (M,), optional - Weights. If not None the contribution of each point - ``(x[i],y[i])`` to the fit is weighted by `w[i]`. Ideally the - weights are chosen so that the errors of the products - ``w[i]*y[i]`` all have the same variance. The default value is - None. + Weights. If not None, the weight ``w[i]`` applies to the unsquared + residual ``y[i] - y_hat[i]`` at ``x[i]``. Ideally the weights are + chosen so that the errors of the products ``w[i]*y[i]`` all have + the same variance. When using inverse-variance weighting, use + ``w[i] = 1/sigma(y[i])``. The default value is None. .. versionadded:: 1.5.0 window : {[beg, end]}, optional |