ValueError: ожидаемые входные данные не будут пустыми. ⇐ Python
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Anonymous
ValueError: ожидаемые входные данные не будут пустыми.
This is my code:
x_test = [] y_test = dataset[training_data_len:, :] for i in range (60,len(test_data)): x_test.append(test_data[i - 60 :i, 0]) x_test = np.array(x_test) x_test = np.reshape(x_test , (x_test.shape[0] ,x_test.shape[1],1)) when I wrote this line:
predictions = model.predict(x_test) predictions = scaler.inverse_transform(predictions) I got this Error:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[26], line 1 ----> 1 predictions = model.predict(x_test) 2 predictions = scaler.inverse_transform(predictions) File c:\Users\hemic\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\utils\traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs) 67 filtered_tb = _process_traceback_frames(e.__traceback__) 68 # To get the full stack trace, call: 69 # `tf.debugging.disable_traceback_filtering()` ---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tb File c:\Users\hemic\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\engine\data_adapter.py:1319, in DataHandler.__init__(self, x, y, sample_weight, batch_size, steps_per_epoch, initial_epoch, epochs, shuffle, class_weight, max_queue_size, workers, use_multiprocessing, model, steps_per_execution, distribute, pss_evaluation_shards) 1314 self._configure_dataset_and_inferred_steps( 1315 strategy, x, steps_per_epoch, class_weight, distribute 1316 ) 1318 if self._inferred_steps == 0: -> 1319 raise ValueError("Expected input data to be non-empty.") ValueError: Expected input data to be non-empty.
How would I go about fixing this error?
Источник: https://stackoverflow.com/questions/780 ... -non-empty
This is my code:
x_test = [] y_test = dataset[training_data_len:, :] for i in range (60,len(test_data)): x_test.append(test_data[i - 60 :i, 0]) x_test = np.array(x_test) x_test = np.reshape(x_test , (x_test.shape[0] ,x_test.shape[1],1)) when I wrote this line:
predictions = model.predict(x_test) predictions = scaler.inverse_transform(predictions) I got this Error:
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[26], line 1 ----> 1 predictions = model.predict(x_test) 2 predictions = scaler.inverse_transform(predictions) File c:\Users\hemic\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\utils\traceback_utils.py:70, in filter_traceback..error_handler(*args, **kwargs) 67 filtered_tb = _process_traceback_frames(e.__traceback__) 68 # To get the full stack trace, call: 69 # `tf.debugging.disable_traceback_filtering()` ---> 70 raise e.with_traceback(filtered_tb) from None 71 finally: 72 del filtered_tb File c:\Users\hemic\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\engine\data_adapter.py:1319, in DataHandler.__init__(self, x, y, sample_weight, batch_size, steps_per_epoch, initial_epoch, epochs, shuffle, class_weight, max_queue_size, workers, use_multiprocessing, model, steps_per_execution, distribute, pss_evaluation_shards) 1314 self._configure_dataset_and_inferred_steps( 1315 strategy, x, steps_per_epoch, class_weight, distribute 1316 ) 1318 if self._inferred_steps == 0: -> 1319 raise ValueError("Expected input data to be non-empty.") ValueError: Expected input data to be non-empty.
How would I go about fixing this error?
Источник: https://stackoverflow.com/questions/780 ... -non-empty
