我尝试构建一个1D CNN，但解释器告诉我：

AttributeError: ‘ProgbarLogger’ object has no attribute ‘log_values’

这是代码片段：

model = Sequential()model.add(Conv1D(200, 20, activation='relu', padding='same',input_shape=(1154,1024))print(model.summary())model.compile(optimizer='adam',          loss='sparse_categorical_crossentropy',          metrics=['accuracy'])history=model.fit(X, y,batch_size=10, epochs=25,validation_split=0.7)

这是错误信息：

Layer (type)                 Output Shape              Param #   =================================================================conv1d_1 (Conv1D)            (None, 1154, 200)         4096200   =================================================================Total params: 4,096,200Trainable params: 4,096,200Non-trainable params: 0_________________________________________________________________NoneTrain on 0 samples, validate on 1 samplesEpoch 1/25Traceback (most recent call last):  File "binary_classification.py", line 59, in <module>    history=model.fit(X, y,batch_size=10, epochs=25,validation_split=0.7)  File "/home/isabella/.local/lib/python3.6/site-packages/keras/engine/training.py",line 1039, in fit    validation_steps=validation_steps)  File "/home/isabella/.local/lib/python3.6/site-packages/keras/engine/training_arrays.py",line 217, in fit_loop    callbacks.on_epoch_end(epoch, epoch_logs)  File "/home/isabella/.local/lib/python3.6/site-packages/keras/callbacks.py",line 79, in on_epoch_end    callback.on_epoch_end(epoch, logs)  File "/home/isabella/.local/lib/python3.6/site-packages/keras/callbacks.py",line 338, in on_epoch_end    self.progbar.update(self.seen, self.log_values)AttributeError: 'ProgbarLogger' object has no attribute 'log_values'X shape is :(1,1154,1024),y shape is :(1,1154, 1 )

回答：

如果你仔细看，你会在堆栈跟踪输出之前看到这一行：

Train on 0 samples, validate on 1 samples

没有训练数据！为什么？因为你将validation_split设置为0.7，因此首先将X（和y）中70%的数据点用于验证，剩下的30%用于训练。可能X中的数据点数量少于4，因此其30%将少于1，这意味着没有数据点留给训练。请使用超过4个数据点，或者删除validation_split参数（或者降低它，以便至少有一个样本用于训练）。