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fixed an issue where crossover with gradient boosting classifiers would throw and error due to the hyper parameter parser not getting all expected values in the parameter dictionary.
fixed an issue where one hot encoder was throwing errors on unknown categories when applying to new data
added a KBinsDiscretizer to the search space. Wrote a wrapper so that it can ignore/passthrough columns that have fewer than k items.
fixed an issue where the genetic feature selection would sometimes select no features, now at least one will always be selected.
fixed a bug in the crossover method of the dynamic linear pipelines and dynamic union pipeline.
closing the dask client sometimes throws and error. I think this happens when a future crashes due to memory limits, but I am not sure. I simply added a catch/except block to catch the error if it is thrown.