scikit-optimize
scikit-optimize copied to clipboard
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
As per the title, when attempting to use the `ExtraTreesRegressor` class an `sklearn.utils._param_validation.InvalidParameterError` exception is raised as below. ``` sklearn.utils._param_validation.InvalidParameterError: The 'criterion' parameter of ExtraTreesRegressor must be a str among...
Hi everyone. I would like to apply the command "skopt.optimizer()" to minimize a function with given initial points. However, I could not find any option for inserting given initial values...
scikit-optimize version: 0.8.0, 0.8.1, 0.9.0 For all samplers in `skopt/sampler/`, includes `Lhs, Sobol, Halton, Hammersly, Grid`, the return type of `sampler.generate()` is `list`, but should it be `numpy.ndarray` according to...
fit_params dict, optional Parameters to pass to the fit method. When I pass the fit_params to the init function of the Bayes search CV, these parameters are not getting set...
Hello, I'm using the 'unofficial' version of BayesSearchCV with multimetrics. In order to improve parallel processing and speed up run times with my new machine, I increased the n_points parameter...
I have proposed to create a new *operator* in `sklearn` to handle *forking paths*, to facilitate defining different discrete set of options and then tuning those options using something like...
gaussian_pi and gaussian_ei take a "minimal improvement" parameter xi. This is useful but very hard to fine tune in a general way, disregarding the scale of current loss. Could you...
Metadata
Owner
Metadata
Sequential model-based optimization with a `scipy.optimize` interface