tf.contrib.learn.NotFittedError
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Exception class to raise if estimator is used before fitting.
tf.contrib.learn.NotFittedError(
*args, **kwargs
)
USE OF THIS EXCEPTION IS DEPRECATED.
This class inherits from both ValueError and AttributeError to help with
exception handling and backward compatibility.
Examples:
from sklearn.svm import LinearSVC
from sklearn.exceptions import NotFittedError
try:
... LinearSVC().predict([[1, 2], [2, 3], [3, 4]])
... except NotFittedError as e:
... print(repr(e))
... # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS
NotFittedError('This LinearSVC instance is not fitted yet',)
Copied from
https://github.com/scikit-learn/scikit-learn/master/sklearn/exceptions.py
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2020-10-01 UTC.
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View source on GitHub