MinMaxScaler.partial_fit

MinMaxScaler.partial_fit(X, y=None)

Online computation of min and max on X for later scaling.

All of X is processed as a single batch. This is intended for cases when fit() is not feasible due to very large number of n_samples or because X is read from a continuous stream.

Parameters:

• X (array-like of shape (n_samples, n_features)) – The data used to compute the mean and standard deviation used for later scaling along the features axis.

• y (None) – Ignored.

Returns:

self – Fitted scaler.

Return type:

object