Python 获得；“许可拒绝错误”；在Tensorflow上运行示例程序时
很抱歉我缺乏知识，但我正在尝试在Tensorflow上运行示例：Python 获得；“许可拒绝错误”；在Tensorflow上运行示例程序时,python,tensorflow,permissions,Python,Tensorflow,Permissions,很抱歉我缺乏知识，但我正在尝试在Tensorflow上运行示例： import numpy as np import tensorflow as tf feature_columns = [tf.feature_column.numeric_column("x", shape=[1])] estimator = tf.estimator.LinearRegressor(feature_columns=feature_columns) x_train = np.array([1., 2.,
import numpy as np
import tensorflow as tf
feature_columns = [tf.feature_column.numeric_column("x", shape=[1])]
estimator = tf.estimator.LinearRegressor(feature_columns=feature_columns)
x_train = np.array([1., 2., 3., 4.])
y_train = np.array([0., -1., -2., -3.])
x_eval = np.array([2., 5., 8., 1.])
y_eval = np.array([-1.01, -4.1, -7, 0.])
input_fn = tf.estimator.inputs.numpy_input_fn(
{"x": x_train}, y_train, batch_size=4, num_epochs=None, shuffle=True)
train_input_fn = tf.estimator.inputs.numpy_input_fn(
{"x": x_train}, y_train, batch_size=4, num_epochs=1000, shuffle=False)
eval_input_fn = tf.estimator.inputs.numpy_input_fn(
{"x": x_eval}, y_eval, batch_size=4, num_epochs=1000, shuffle=False)
estimator.train(input_fn=input_fn, steps=1000)
train_metrics = estimator.evaluate(input_fn=train_input_fn)
eval_metrics = estimator.evaluate(input_fn=eval_input_fn)
print("train metrics: %r"% train_metrics)
print("eval metrics: %r"% eval_metrics)