Sklearn Tuner does not recognize executions_per_trial and distribution_strategy

[Iphykay]

Describe the bug
When you add executions_per_trial and distribution_stategy arguments

reg_tuner = kt.tuners.SklearnTuner(oracle=kt.oracles.BayesianOptimizationOracle(objective=kt.Objective('score','max'), max_trials = max_trials), hypermodel=tunereg.myregclsmodels, scoring=scoring_,executions_per_trial=exctns_per_trial, overwrite=True, distribution_strategy=tf.distribute.MirroredStrategy(), directory=f'{pathHptLogs}', project_name=f'{something}')

To Reproduce

(https://colab.research.google.com/drive/1-XAUlX4OneNfy6ErGqyMGwmVXe-UXVh9#scrollTo=YmjNIU7Hg66G)

Expected behavior
For it to work.

Additional context

ValueError: Unrecognized arguments ['distribution_strategy', 'executions_per_trial'] for BaseTuner.__init__().

Would you like to help us fix it?