小编And*_*ion的帖子

在Google Cloud ML(机器学习)中,我提交了一份作业,但由于代码中出现Python错误而失败.

修复错误后,如何重新运行该作业？我应该提交一份新工作吗？

当我完成后,如何删除这份工作？

在线文档不完整.

谢谢

我有一个如下代码,我想提交给Google cloud ml.我已经测试了他们的例子并得到了结果.

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf
import numpy as np

# Data sets
I_TRAINING = "/home/android/Desktop/training.csv"
I_TEST = "/home/android/Desktop/test.csv"

# Load datasets.
training_set = tf.contrib.learn.datasets.base.load_csv(filename=I_TRAINING, target_dtype=np.int)
test_set = tf.contrib.learn.datasets.base.load_csv(filename=I_TEST, target_dtype=np.int)

# Specify that all features have real-value data
feature_columns = [tf.contrib.layers.real_valued_column("", dimension=2)]

# Build 3 layer DNN with 10, 20, 10 units respectively.
classifier = tf.contrib.learn.DNNClassifier(feature_columns=feature_columns,
                                            hidden_units=[10, 20, 10],
                                            n_classes=2,
                                            model_dir="/tmp/my_model")

# Fit model.
classifier.fit(x=training_set.data, y=training_set.target, steps=2000) …