sklearn.utils.as_float_array(X, copy=True, force_all_finite=True)[source]

Converts an array-like to an array of floats.

The new dtype will be np.float32 or np.float64, depending on the original type. The function can create a copy or modify the argument depending on the argument copy.


X : {array-like, sparse matrix}

copy : bool, optional

If True, a copy of X will be created. If False, a copy may still be returned if X’s dtype is not a floating point type.

force_all_finite : boolean (default=True)

Whether to raise an error on np.inf and np.nan in X.


XT : {array, sparse matrix}

An array of type np.float