为什么Pycharm无法识别Skflow的功能?

时间:2016-03-31 00:06:12

标签: pycharm tensorflow skflow

我安装Skflow并在Pycharm上运行digits.py示例并看到它返回错误“AttributeError:'module'对象没有属性'TensorFlowDNNRegressor”。我继续并在Ipython上运行相同的程序,一切都很好。应该是什么问题?

from sklearn import datasets, cross_validation, metrics
import tensorflow as tf

import skflow
from skflow import monitors

# Load dataset

digits = datasets.load_digits()
X = digits.images
y = digits.target

# Split it into train / test subsets

X_train, X_test, y_train, y_test = cross_validation.train_test_split(X, y,
                                                                     test_size=0.2,
                                                                     random_state=42)

# Split X_train again to create validation data

X_train, X_val, y_train, y_val = cross_validation.train_test_split(X_train,
                                                                   y_train,
                                                                   test_size=0.2,
                                                                   random_state=42)

# TensorFlow model using Scikit Flow ops


def conv_model(X, y):
    X = tf.expand_dims(X, 3)
    features = tf.reduce_max(skflow.ops.conv2d(X, 12, [3, 3]), [1, 2])
    features = tf.reshape(features, [-1, 12])
    return skflow.models.logistic_regression(features, y)

val_monitor = monitors.ValidationMonitor(X_val, y_val, n_classes=10, print_steps=50)
# Create a classifier, train and predict.
classifier = skflow.TensorFlowEstimator(model_fn=conv_model, n_classes=10,
                                        steps=1000, learning_rate=0.05,
                                        batch_size=128)
classifier.fit(X_train, y_train, val_monitor)
score = metrics.accuracy_score(y_test, classifier.predict(X_test))
print('Test Accuracy: {0:f}'.format(score))

此外,我了解到,当我在Ipython上工作时,我对Pycharm上Skflow的任何功能都有问题。对此有何猜测?

2 个答案:

答案 0 :(得分:0)

您可以检查以确保Pycharm使用的是与ipython使用的相同的python解释器和环境。您可以在设置|项目|项目解释器

中的pycharm中设置解释器

答案 1 :(得分:0)

TensorFlow在Pycharm中运作良好吗?如果是这样,您现在可以在其contrib模块中使用skflow安装每晚构建的TensorFlow

要安装每晚构建的TensorFlow,请参阅TensorFlow' Github页面上的README文件以获取说明。

然后您可以通过from tensorflow.contrib.skflow.python import skflow导入skflow。

希望这会有所帮助。