Невозможно обучить модель CNN ⇐ Python

[Anonymous]

Исходная форма набора данных — (343889, 80), а последний столбец — метки. Разделение обучающей и тестовой выборки завершено
X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.30, random_state=10)

• форма - набор обучающих данных (240722, 80)
• форма - обучающие метки (240722,)
• форма - набор данных тестирования (103167, 80)
• форма - метки тестирования (103167,)

Модель представлена ниже
inputShape = (240722,80)
# Now Working currently
model = Sequential()
#model.add(Flatten())
model.add(Input(shape=inputShape))
#model.add(Dense(1, activation='relu'))
model.add(Conv1D(filters=20, kernel_size=10, activation='relu'))
#model.add(MaxPooling1D(pool_size=79))
#model.add(Flatten())
model.add(Dense(9))
model.compile(optimizer='adam', loss='mse')

Краткое описание модели
Model: "sequential_31"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv1d_32 (Conv1D) (None, 240713, 20) 16020

dense_21 (Dense) (None, 240713, 9) 189

=================================================================
Total params: 16,209
Trainable params: 16,209
Non-trainable params: 0
_________________________________________________________________

Когда мы запускаем команду model.fit(), выдается следующая ошибка.
model.fit(X_train, y_train, epochs=5, verbose=0)

Получена ошибка
ValueError Traceback (most recent call last)
in ()
----> 1 model.fit(X_train, y_train, epochs=5, verbose=0)

1 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py in autograph_handler(*args, **kwargs)
1145 except Exception as e: # pylint:disable=broad-except
1146 if hasattr(e, "ag_error_metadata"):
-> 1147 raise e.ag_error_metadata.to_exception(e)
1148 else:
1149 raise

ValueError: in user code:

File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1021, in train_function *
return step_function(self, iterator)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1010, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1000, in run_step **
outputs = model.train_step(data)
File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 859, in train_step
y_pred = self(x, training=True)
File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 67, in error_handler
raise e.with_traceback(filtered_tb) from None
File "/usr/local/lib/python3.7/dist-packages/keras/engine/input_spec.py", line 264, in assert_input_compatibility
raise ValueError(f'Input {input_index} of layer "{layer_name}" is '

ValueError: Input 0 of layer "sequential_31" is incompatible with the layer: expected shape=(None, 240722, 80), found shape=(None, 80)


Подробнее здесь: https://stackoverflow.com/questions/715 ... -cnn-model