Unexpected Behavior after installation

Describe the bug

So I just installed auto-sklearn (version 0.12.1) as specified on the installation page. Prior to that I installed SWIG (version 3.0.12). The installation process is working fine. However, when I want to test the library I get the following error:

To Reproduce

Steps to reproduce the behavior: $ wget https://automl.github.io/auto-sklearn/master/_downloads/650cd19a8dfee813a7d7fb5b90341ed3/example_classification.py $ python example_classification.py

Expected behavior

example output

Actual behavior, stacktrace or logfile

/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/pyparsing.py:3190: FutureWarning: Possible set intersection at position 3 self.re = re.compile(self.reString) /home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/pyparsing.py:3190: FutureWarning: Possible set intersection at position 3 self.re = re.compile(self.reString) /home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/pyparsing.py:3190: FutureWarning: Possible set intersection at position 3 self.re = re.compile(self.reString) /home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/pyparsing.py:3190: FutureWarning: Possible set intersection at position 3 self.re = re.compile(self.reString) Traceback (most recent call last): File “example_classification.py”, line 35, in <module> automl.fit(X_train, y_train, dataset_name=‘breast_cancer’) File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/estimators.py”, line 591, in fit [ERROR] [2021-01-23 22:07:46,677:Client-AutoML(1):breast_cancer] Dummy prediction failed with run state StatusType.CRASHED and additional output: {‘error’: ‘Result queue is empty’, ‘exit_status’: 0, ‘subprocess_stdout’: 'Exception handling in fit_predict_try_except_decorator: traceback: Traceback (most recent call last):\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/init.py”, line 32, in fit_predict_try_except_decorator\n return ta(queue=queue, **kwargs)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/train_evaluator.py”, line 1079, in eval_holdout\n evaluator.fit_predict_and_loss(iterative=iterative)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/train_evaluator.py”, line 611, in fit_predict_and_loss\n self.finish_up(\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/abstract_evaluator.py”, line 333, in finish_up\n self.queue.put(rval_dict)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/multiprocessing/queues.py”, line 88, in put\n self._start_thread()\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/multiprocessing/queues.py”, line 173, in _start_thread\n self._thread.start()\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/threading.py”, line 852, in start\n _start_new_thread(self.bootstrap, ())\nRuntimeError: can't start new thread\n \nerror message: RuntimeError(“can't start new thread”)\n’, ‘subprocess_stderr’: ‘’, ‘exitcode’: 0, ‘configuration_origin’: ‘DUMMY’}. super().fit( File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/estimators.py”, line 356, in fit self.automl.fit(load_models=self._load_models, **kwargs) File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/automl.py”, line 1386, in fit return super().fit( File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/automl.py”, line 604, in fit self._do_dummy_prediction(datamanager, num_run) File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/automl.py”, line 423, in _do_dummy_prediction raise ValueError( ValueError: Dummy prediction failed with run state StatusType.CRASHED and additional output: {‘error’: ‘Result queue is empty’, ‘exit_status’: 0, ‘subprocess_stdout’: ‘Exception handling in fit_predict_try_except_decorator: traceback: Traceback (most recent call last):\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/init.py”, line 32, in fit_predict_try_except_decorator\n return ta(queue=queue, **kwargs)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/train_evaluator.py”, line 1079, in eval_holdout\n evaluator.fit_predict_and_loss(iterative=iterative)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/train_evaluator.py”, line 611, in fit_predict_and_loss\n self.finish_up(\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/site-packages/autosklearn/evaluation/abstract_evaluator.py”, line 333, in finish_up\n self.queue.put(rval_dict)\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/multiprocessing/queues.py”, line 88, in put\n self._start_thread()\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/multiprocessing/queues.py”, line 173, in _start_thread\n self._thread.start()\n File “/home/philipp/miniconda3/envs/AutoML/lib/python3.8/threading.py”, line 852, in start\n _start_new_thread(self._bootstrap, ())\nRuntimeError: can't start new thread\n \nerror message: RuntimeError(“can't start new thread”)\n’, ‘subprocess_stderr’: ‘’, ‘exitcode’: 0, ‘configuration_origin’: ‘DUMMY’}.

Please describe the expected behavior here. If there is a stacktrace, please paste it here. If there is no stacktrace printed, please upload the logfile which was stored in the tmp_folder AutoML(1):breast_cancer.log

Environment and installation:

Ubuntu 20.04.1 LTS Conda environment with python=3.8 Auto-sklearn version 0.12.1 SWIG version 3.0.12

[wmbjo]

I fixed error ‘Result queue is empty’ by upgrading to auto-sklearn 0.12.3 (originally on 0.12.1) sudo pip3 install auto-sklearn --upgrade

OS: MacOS Installation in a conda environment Python version : 3.8 Auto-sklearn version: 0.12.1

[github-actions[bot]]

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