tune-sklearn

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during pickling there is an error

1

E AttributeError: Can't pickle local object 'MaximumIterationStopper.__init__..'

drhosseinjavedani

I keep on getting the following error. I have ray 2.5.0 and latest sklearn. Also tried 2.4.0 and lower versions of sklearn but no luck. Please guide here, I am...

wasifmasood

After running the below code, it says >INFO trainable.py:172 – Trainable.setup took 2940.989 seconds. if your trainable is slow to initialize, consider setting reuse_actors=True to reduce actor creation overheads ```...

animeshkumarpaul

I'm using `tune_sklearn.TuneSearchCV` to tune a fairly large number of hyperparameters using the "hyperopt" optimization method. When I look at the results in the `cv_results_` attribute, the model performance does...

gbrookshire

In tune_basesearch.py, line 528, sk_n_jobs get passed into the config instead of n_jobs, is this a bug? And if not why is that being passed in instead of self.n_jobs? ```...

xhulianoThe1

Fail to run the conda installed tune_sklearn package

2

I am running my scripts in a Python 3.9.13 environment through Anaconda VScode. The package was downloaded via Anaconda Prompt by 'conda install -c conda-forge tune-sklearn'. The download was successful...

Soga-no-Tojiko

There doesn't seem to be any documentation for how to resume the train from the local_dir checkpoints. Using the following provided example: ``` """Example using an sklearn Pipeline with TuneGridSearchCV....

jonathanmiller2