mlpy.mdp.stateaction.MDPPrimitive.set_minmax_features¶
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classmethod
MDPPrimitive.
set_minmax_features
(_min, _max)[source]¶ Sets the minimum and maximum value for each feature.
This extracts the number of features from the _min and _max values and ensures that it matches with nfeatures. If nfeatures is None, the nfeatures attribute is set to the extracted value.
Parameters: _min : array_like, shape(nfeatures,)
The minimum value for each feature
_max : array_like, shape(nfeatures,)
The maximum value for each feature
Raises: ValueError
If the arrays are not one-dimensional vectors, the shapes of the arrays don’t match, or the number of features does not agree with the attribute nfeatures.