Methods
fit(X, y)
Compute the mean and variance to be used for later scaling.
Parameters:
| Name | Type | Default | Description |
|---|---|---|---|
X |
Array | array-like, shape [n_samples, n_features] The data used to compute the mean and standard deviation used for later scaling along the features axis. | |
y |
Array | null | Passthrough for ``Pipeline`` compatibility. |
- Source:
transform(X, y)
Perform standardization by centering and scaling values of
the features.
Parameters:
| Name | Type | Default | Description |
|---|---|---|---|
X |
Array | array-like, shape [n_samples, n_features] The data used to scale along the features axis. | |
y |
Array | null | ignored |
- Source: