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Traceback (most recent call last):
File "/global/scratch/ardunn/python/lib/python3.7/site-packages/fireworks/core/rocket.py", line 262, in run
m_action = t.run_task(my_spec)
File "/global/scratch/ardunn/codes/hmprivate/hmprivate/automatminer/benchmarking/tasks.py", line 107, in run_task
results = pipe.benchmark(df, target, kfold, fold_subset=[fold])
File "/global/scratch/ardunn/codes/automatminer/automatminer/utils/package_tools.py", line 76, in wrapper
result = func(*args, **kwargs)
File "/global/scratch/ardunn/codes/automatminer/automatminer/pipeline.py", line 234, in benchmark
self.fit(train, target)
File "/global/scratch/ardunn/codes/automatminer/automatminer/utils/package_tools.py", line 76, in wrapper
result = func(*args, **kwargs)
File "/global/scratch/ardunn/codes/automatminer/automatminer/pipeline.py", line 137, in fit
self.learner.fit(df, target)
File "/global/scratch/ardunn/codes/automatminer/automatminer/utils/package_tools.py", line 76, in wrapper
result = func(*args, **kwargs)
File "/global/scratch/ardunn/codes/automatminer/automatminer/automl/adaptors.py", line 125, in fit
self._backend = self._backend.fit(X, y, **fit_kwargs)
File "/global/scratch/ardunn/python/lib/python3.7/site-packages/tpot/base.py", line 693, in fit
raise e
File "/global/scratch/ardunn/python/lib/python3.7/site-packages/tpot/base.py", line 684, in fit
self._update_top_pipeline()
File "/global/scratch/ardunn/python/lib/python3.7/site-packages/tpot/base.py", line 758, in _update_top_pipeline
raise RuntimeError('A pipeline has not yet been optimized. Please call fit() first.')
RuntimeError: A pipeline has not yet been optimized. Please call fit() first.
This happens infrequently enough for it to not be code-breaking, but frequently enough for it to be annyoing.
The text was updated successfully, but these errors were encountered:
For example:
This happens infrequently enough for it to not be code-breaking, but frequently enough for it to be annyoing.
The text was updated successfully, but these errors were encountered: