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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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[I'm running TPOT for get some good ideas for a pipeline on a classification task, but always I fit a model the best pipeline is chosen from a StackingEstimator which...

question

Hello everyone, I hope this issue hasn't been discussed already. I tried a search through the issues with no luck. I was wondering if anyone knows a way to quickly...

question

I hope that this question is allowed on this site. I am trying to use pot to optimize a gaussian process regressor. As such, I need a custom config: tpot_config...

## Context of the issue It is possible that TPOT proposes a model with 2 successive RobustScaler() I have checked myself, this combination is not helpful. ## Possible fix just...

I tried to do Stackingclassifier and I got an error: "TypeError: stat: path should be string, bytes, os.PathLike or integer, not StackingClassifier" Is there are work around it? My config...

ValueError Traceback (most recent call last) in 4 pipeline_optimizer = TPOTClassifier(generations=5, population_size=20, cv=5, 5 random_state=42, verbosity=2) ----> 6 pipeline_optimizer.fit(X_train, y_train) 7 print(pipeline_optimizer.score(X_test, y_test)) ~/anaconda3/envs/dmda/lib/python3.6/site-packages/tpot/base.py in fit(self, features, target, sample_weight, groups)...

question

A `TPOT.fit` call may fail when there are outlier minority classes (with certain metrics). ## Context of the issue When running the benchmark we encountered this issue sometimes, for instance...

#1186 ## What does this PR do? We found certain regressors and classifiers not included in the model selection of the machine learning pipeline. Hence, we have included a few....

I am running the GPU-accelerated (using dask) configuration of TPOT (TPOT version 0.11.7) on a couple of different data. I am also using TPOT cuML in the configuration. I am...