ValueError: Cannot load file containing pickled data when allow_pickle=False

[jeffheaton]

I am trying to run the Parallel example, found here: https://automl.github.io/auto-sklearn/stable/examples/example_parallel.html#sphx-glr-examples-example-parallel-py

I am running from the provided docker image. I also tried installing the latest version directly from Git (running setup.py install). Both result in the following error in the following error:

ValueError: Cannot load file containing pickled data when allow_pickle=False

Complete stack trace:

/usr/local/lib/python3.6/dist-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release.
  from numpy.core.umath_tests import inner1d
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
/usr/local/lib/python3.6/dist-packages/autosklearn/evaluation/train_evaluator.py:197: RuntimeWarning: Mean of empty slice
  Y_train_pred = np.nanmean(Y_train_pred_full, axis=0)
Starting to build an ensemble!
[WARNING] [2019-04-23 17:03:09,374:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_3.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,377:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_16.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,379:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_23.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,380:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_8.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,381:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_27.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,383:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_11.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,385:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_26.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,388:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_9.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,390:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_15.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,392:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_19.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,393:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_12.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,396:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_4.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,399:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_17.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,401:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_15.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,403:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_18.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,404:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_11.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,406:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_25.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,407:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_15.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,408:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_10.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,409:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_14.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,411:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_1.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,413:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_5.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,415:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_2.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,417:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_9.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,419:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_11.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,420:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_15.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,422:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_1.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,423:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_3.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,424:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_16.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,425:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_13.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,427:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_2.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,429:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_1.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,431:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_1.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,433:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_21.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,435:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_16.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,439:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_8.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,441:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_4.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,442:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_13.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,444:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_21.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,446:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_5.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,448:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_14.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,450:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_11.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,452:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_12.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,453:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_18.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,454:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_3_19.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,456:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_7.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,458:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_2_6.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,459:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_19.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,460:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_7.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,462:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_0_7.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,463:EnsembleBuilder(1):digits] Error loading /tmp/autosklearn_parallel_example_tmp/.auto-sklearn/predictions_ensemble/predictions_ensemble_1_17.npy: Traceback (most recent call last):
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 316, in read_ensemble_preds
    y_ensemble = self._read_np_fn(fp=fp)
  File "/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py", line 641, in _read_np_fn
    predictions = np.load(fp).astype(dtype=np.float32)
  File "/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py", line 451, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False

[WARNING] [2019-04-23 17:03:09,464:EnsembleBuilder(1):digits] No models better than random - using Dummy Score!
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-8e9ac2e7ddd3> in <module>
    109 
    110 if __name__ == '__main__':
--> 111     main()

<ipython-input-1-8e9ac2e7ddd3> in main()
    100         dataset_name='digits',
    101         ensemble_size=20,
--> 102         ensemble_nbest=50,
    103     )
    104 

/usr/local/lib/python3.6/dist-packages/autosklearn/estimators.py in fit_ensemble(self, y, task, metric, precision, dataset_name, ensemble_nbest, ensemble_size)
    477             dataset_name=dataset_name,
    478             ensemble_nbest=ensemble_nbest,
--> 479             ensemble_size=ensemble_size,
    480         )
    481         return self

/usr/local/lib/python3.6/dist-packages/autosklearn/automl.py in fit_ensemble(self, y, task, metric, precision, dataset_name, ensemble_nbest, ensemble_size)
   1007 
   1008         return super().fit_ensemble(y, task, metric, precision, dataset_name,
-> 1009                                     ensemble_nbest, ensemble_size)
   1010 
   1011     def _process_target_classes(self, y):

/usr/local/lib/python3.6/dist-packages/autosklearn/automl.py in fit_ensemble(self, y, task, metric, precision, dataset_name, ensemble_nbest, ensemble_size)
    927             y, task=task, metric=metric, precision=precision,
    928             dataset_name=dataset_name, ensemble_nbest=ensemble_nbest,
--> 929             ensemble_size=ensemble_size
    930         )
    931 

/usr/local/lib/python3.6/dist-packages/autosklearn/automl.py in fit_ensemble(self, y, task, metric, precision, dataset_name, ensemble_nbest, ensemble_size)
    620             1, task, metric, precision, dataset_name, max_iterations=1,
    621             ensemble_nbest=ensemble_nbest, ensemble_size=ensemble_size)
--> 622         self._proc_ensemble.main()
    623         self._proc_ensemble = None
    624         self._load_models()

/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py in main(self)
    195                 continue
    196 
--> 197             selected_models = self.get_n_best_preds()
    198             if not selected_models:  # nothing selected
    199                 continue

/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py in get_n_best_preds(self)
    394         for k, _, _ in sorted_keys[:self.ensemble_nbest]:
    395             if self.read_preds[k][Y_ENSEMBLE] is None:
--> 396                 self.read_preds[k][Y_ENSEMBLE] = self._read_np_fn(fp=k)
    397                 # No need to load valid and test here because they are loaded
    398                 #  only if the model ends up in the ensemble

/usr/local/lib/python3.6/dist-packages/autosklearn/ensemble_builder.py in _read_np_fn(self, fp)
    639             predictions = np.load(fp).astype(dtype=np.float16)
    640         elif self.precision is "32":
--> 641             predictions = np.load(fp).astype(dtype=np.float32)
    642         elif self.precision is "64":
    643             predictions = np.load(fp).astype(dtype=np.float64)

/usr/local/lib/python3.6/dist-packages/numpy/lib/npyio.py in load(file, mmap_mode, allow_pickle, fix_imports, encoding)
    449             # Try a pickle
    450             if not allow_pickle:
--> 451                 raise ValueError("Cannot load file containing pickled data "
    452                                  "when allow_pickle=False")
    453             try:

ValueError: Cannot load file containing pickled data when allow_pickle=False

[shouyu]

downgrade numpy package to 1.14, works for me

pip install numpy==1.14.*

[jeffheaton]

Is the requirements.txt file wrong then? Should that be updated to reflect what @shouyu has above? Or would that have other ramifications? That would fix the docker file too, since it uses the requirements.txt.

[mfeurer]

Either the requirements file needs an update, or saving the numpy matrix needs to be changed. Maybe it would be best to do a hotfix to the requirements file in the development branch and then tackle the actual issue?

[jeffheaton]

In my opinion, the requirements.txt should reflect the requirements for the current state of the code. So I think that makes sense.

[nediamond]

numpy==1.14.* gave me ValueError: numpy.ufunc size changed, may indicate binary incompatibility. Expected 216 from C header, got 192 from PyObject but 1.16.1 works

[Shugyousha]

We have just been bitten by this as well. The culprit is this changed default value:

The allow_pickle function parameter default value has been changed from True to False since numpy 1.16.3 (the newest one).

(from https://www.numpy.org/devdocs/reference/generated/numpy.load.html)

numpy versions lower than 1.16.3 (i. e. 1.16.2 or 1.16.1 should work). A clean solution would be to allow pickling explicitly in the cases that auto-sklearn is using it.

[FLautenschlager]

np.load() is called in 4 files:

• autosklearn/ensemble_builder.py
• autosklearn/util/backend.py
• test/test_automl/test_estimators.py
• test/test_ensemble_builder/test_ensemble.py

Here, the problem would be resolved by adding , allow_pickle=True to the function call.

[mfeurer]

Closing this as a duplicate of #668. Fixed via #675.

[NargesSayah]

np.load() is called in 4 files:

• autosklearn/ensemble_builder.py
• autosklearn/util/backend.py
• test/test_automl/test_estimators.py
• test/test_ensemble_builder/test_ensemble.py

Here, the problem would be resolved by adding , allow_pickle=True to the function call.

Doing so gives me the following errors:

_pickle.UnpicklingError: invalid load key, '\x00'.

OSError: Failed to interpret file 'blahblah' as a pickle

[mfeurer]

@NargesSayah could you please create a new issue with an example that allows us to reproduce this issue?