 sklearn.base.TransformerMixin   classsklearn.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 and y with optional parameters fit_params and returns a transformed version of X.  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 
 

    
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