Compute (or return) some error of a (trained) classifier on a dataset.
Notes
Available conditional attributes:
(Conditional attributes enabled by default suffixed with +)
Methods
reset() | |
untrain() | Untrain the *Error which relies on the classifier |
Initialization.
Parameters: | clf : Classifier
labels : list
train : bool
descr : str
enable_ca : None or list of str
disable_ca : None or list of str
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Methods
reset() | |
untrain() | Untrain the *Error which relies on the classifier |
TODO Think that labels might be also symbolic thus can’t directly be indicies of the array
Untrain the *Error which relies on the classifier