tf.contrib.learn.NotFittedError

class tf.contrib.learn.NotFittedError

Exception class to raise if estimator is used before fitting.

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

Class Members

__init__

args

message

Defined in tensorflow/contrib/learn/python/learn/estimators/_sklearn.py.