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| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 921, in retrieve | |
| self._output.extend(job.get(timeout=self.timeout)) | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 771, in get | |
| raise self._value | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 125, in worker | |
| result = (True, func(*args, **kwds)) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 593, in __call__ | |
| return self.func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in __call__ | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in <listcomp> | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 170, in _parallel_build_trees | |
| tree.fit(X, y, sample_weight=sample_weight, check_input=False) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 890, in fit | |
| super().fit( | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 215, in fit | |
| raise ValueError("min_samples_leaf must be at least 1 " | |
| ValueError: min_samples_leaf must be at least 1 or in (0, 0.5], got 0 | |
| warnings.warn("Estimator fit failed. The score on this train-test" | |
| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 921, in retrieve | |
| self._output.extend(job.get(timeout=self.timeout)) | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 771, in get | |
| raise self._value | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 125, in worker | |
| result = (True, func(*args, **kwds)) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 593, in __call__ | |
| return self.func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in __call__ | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in <listcomp> | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 170, in _parallel_build_trees | |
| tree.fit(X, y, sample_weight=sample_weight, check_input=False) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 890, in fit | |
| super().fit( | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 215, in fit | |
| raise ValueError("min_samples_leaf must be at least 1 " | |
| ValueError: min_samples_leaf must be at least 1 or in (0, 0.5], got 0 | |
| warnings.warn("Estimator fit failed. The score on this train-test" | |
| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() |
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| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 921, in retrieve | |
| self._output.extend(job.get(timeout=self.timeout)) | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 771, in get | |
| raise self._value | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 125, in worker | |
| result = (True, func(*args, **kwds)) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 593, in __call__ | |
| return self.func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in __call__ | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in <listcomp> | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 170, in _parallel_build_trees | |
| tree.fit(X, y, sample_weight=sample_weight, check_input=False) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 890, in fit | |
| super().fit( | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 228, in fit | |
| raise ValueError("min_samples_split must be an integer " | |
| ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 0 | |
| warnings.warn("Estimator fit failed. The score on this train-test" | |
| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 921, in retrieve | |
| self._output.extend(job.get(timeout=self.timeout)) | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 771, in get | |
| raise self._value | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 125, in worker | |
| result = (True, func(*args, **kwds)) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 593, in __call__ | |
| return self.func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in __call__ | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in <listcomp> | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 170, in _parallel_build_trees | |
| tree.fit(X, y, sample_weight=sample_weight, check_input=False) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 890, in fit | |
| super().fit( | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 228, in fit | |
| raise ValueError("min_samples_split must be an integer " | |
| ValueError: min_samples_split must be an integer greater than 1 or a float in (0.0, 1.0]; got the integer 0 | |
| warnings.warn("Estimator fit failed. The score on this train-test" | |
| /home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py:548: FitFailedWarning: Estimator fit failed. The score on this train-test partition for these parameters will be set to nan. Details: | |
| Traceback (most recent call last): | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/model_selection/_validation.py", line 531, in _fit_and_score | |
| estimator.fit(X_train, y_train, **fit_params) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 386, in fit | |
| trees = Parallel(n_jobs=self.n_jobs, verbose=self.verbose, | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 1042, in __call__ | |
| self.retrieve() | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 921, in retrieve | |
| self._output.extend(job.get(timeout=self.timeout)) | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 771, in get | |
| raise self._value | |
| File "/home/james/.pyenv/versions/3.8.5/lib/python3.8/multiprocessing/pool.py", line 125, in worker | |
| result = (True, func(*args, **kwds)) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/_parallel_backends.py", line 593, in __call__ | |
| return self.func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in __call__ | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/joblib/parallel.py", line 252, in <listcomp> | |
| return [func(*args, **kwargs) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/ensemble/_forest.py", line 170, in _parallel_build_trees | |
| tree.fit(X, y, sample_weight=sample_weight, check_input=False) | |
| File "/home/james/.pyenv/versions/3.8.5/envs/main_dev/lib/python3.8/site-packages/sklearn/tree/_classes.py", line 890, in fit |
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