tf.contrib.learn.NotFittedError

Class NotFittedError

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

Exception class to raise if estimator is used before fitting.

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

Methods

__init__

__init__(
    *args,
    **kwargs
)

__new__

__new__(
    type,
    *args,
    **kwargs
)