AttributeError:模块"tensorflow.contrib.learn"没有属性"TensorFlowDNNClassifier" [英] AttributeError: module 'tensorflow.contrib.learn' has no attribute 'TensorFlowDNNClassifier'

问题描述

这是我要执行的ml张量流代码-

import tensorflow.contrib.learn as skflow
from sklearn import datasets, metrics
iris = datasets.load_iris()
classifier = skflow.TensorFlowDNNClassifier(hidden_units=[10, 20, 10], n_classes=3)
classifier.fit(iris.data, iris.target)
score = metrics.accuracy_score(iris.target, classifier.predict(iris.data))

print("Accuracy: %f" % score)

它出现以下错误-

回溯(最近通话最近一次):

Traceback (most recent call last):

文件

分类器= skflow.TensorFlowDNNClassifier(hidden_​​units = [10，20，10]，n_classes = 3)AttributeError:module'tensorflow.contrib.learn' 没有属性"TensorFlowDNNClassifier"

classifier = skflow.TensorFlowDNNClassifier(hidden_units=[10, 20, 10], n_classes=3) AttributeError: module 'tensorflow.contrib.learn' has no attribute 'TensorFlowDNNClassifier'

[在69.3秒内完成，退出代码为1]

[Finished in 69.3s with exit code 1]

[shell_cmd:python -u"C:\ Users \ admin \ test3.py"]

[shell_cmd: python -u "C:\Users\admin\test3.py"]

推荐答案

在TensorFlow项目中似乎已经进行了重大重构，并且所有skflow代码都已移至主

There seems to have been a major refactor in the TensorFlow project, and all the skflow code has been moved under the main tensorflow repository.

尝试仅用DNNClassifier替换TensorFlowDNNClassifier.可以在

Try to replace TensorFlowDNNClassifier with just DNNClassifier. The new class can be found out here. Your corrected code will look like,

import tensorflow.contrib.learn as skflow
from sklearn import datasets, metrics
iris = datasets.load_iris()
# made a change in the next line
classifier = skflow.DNNClassifier(hidden_units=[10, 20, 10], n_classes=3)
classifier.fit(iris.data, iris.target)
score = metrics.accuracy_score(iris.target, classifier.predict(iris.data))

print("Accuracy: %f" % score)

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