sklearn.base
.TransformerMixin¶
- class sklearn.base.TransformerMixin[source]¶
Mixin class for all transformers in scikit-learn.
Methods
fit_transform
(X[, y])Fit to data, then transform it.
- fit_transform(X, y=None, **fit_params)[source]¶
Fit to data, then transform it.
Fits transformer to
X
andy
with optional parametersfit_params
and returns a transformed version ofX
.- Parameters:
- Xarray-like of shape (n_samples, n_features)
Input samples.
- yarray-like of shape (n_samples,) or (n_samples, n_outputs), default=None
Target values (None for unsupervised transformations).
- **fit_paramsdict
Additional fit parameters.
- Returns:
- X_newndarray array of shape (n_samples, n_features_new)
Transformed array.
Examples using sklearn.base.TransformerMixin
¶
Approximate nearest neighbors in TSNE
Approximate nearest neighbors in TSNE