我编写的模块有时(无法预测)会获得新的信息。所以我只有一个例子和一个学习步骤。
classifier = SKCompat(tf.contrib.learn.DNNClassifier(feature_columns=feature_columns,
hidden_units=[7, 4, 2],
n_classes=2,
optimizer=tf.train.GradientDescentOptimizer(0.08)
)
)
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Saving checkpoints for 1 into C:\Users\IVAN~1.KAP\AppData\Local\Temp\tmprit6vryq\model.ckpt.
INFO:tensorflow:loss = 0.71007, step = 1
INFO:tensorflow:Loss for final step: 0.71007.
INFO:tensorflow:Restoring parameters from C:\Users\IVAN~1.KAP\AppData\Local\Temp\tmprit6vryq\model.ckpt-1为每个fit网络创建检查点。这需要3-4秒。我怎样才能禁用它?对我来说太长了
https://stackoverflow.com/questions/44330025
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