scikit-optimize

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Deadlock on multiprocessing gp_minimize

1

Using `gp_minimize` on different processes (multiprocessing) causes a deadlock. Here's a simple example code to reproduce the issue. ``` from time import time import numpy as np from skopt import...

bkb3

[MRG] Deprecationwarning Numpy 1.20

1

DeprecationWarning: `np.int` is a deprecated alias for the builtin `int` . Deprecated in Numpy 1.20

TheOafidian

Can you add type hints to satisfy [mypy](http://mypy-lang.org/)? When importing anything from skopt, mypy reports: ``` error: Skipping analyzing "skopt": module is installed, but missing library stubs or py.typed marker...

pietermarsman

[MRG] Introduce Unscented Bayesian Optimisation

3

Implementation of: - Unscented Expected Improvement; - Unscented Optimal Intercept; - Unscented Bayesian Optimization interface "unscented.py"

Raziel90

BayesSearchCV callback error

3

[Progress monitoring and control using callback argument of fit method example in this binder works OK - https://mybinder.org/v2/gh/scikit-optimize/scikit-optimize/a2369ddbc332d16d8ff173b12404b03fea472492?urlpath=lab%2Ftree%2Fnotebooks%2Fauto_examples%2Fsklearn-gridsearchcv-replacement.ipynb] When I try to run the Progress monitoring and control example on...

shellover

I am applying BO using GP to optimize my neural network. When having only categorical parameters (e.g. only activation functions) to optimize, the Hamming Kernel is used which runs into...

maxira

BayesSearchCV multimetric scoring inconsistency: KeyError: 'mean_test_score'

3

I am working on a multilabel classification and for now I have primarily been relying on `RandomizedSearchCV` from `scikit-learn` to perform hyperparameter optimization. I now started experimenting with `BayesSearchCV` and...

leweex95

gp_minimize returns lowest found point, not minimum of surrogate model

3

I am not sure if this is expected behavior or not, so this is a question and only potentially an actual issue: `gp_minimize` returns the lowest seen value. However, for...

juliusbierk

I want to use the scikit-optimize package's plot_convergence to draw a convergence plot of my optimization results. The plot_convergence requires that the arguments are scipy.optimize.OptimizeResult. However, I am using my...

ccdgyro

`models` not returned in `optimizer_results_` -> breaking `plot_objective`

3

I think this is likely another issue with the recent versions of skearn (I'm using 0.24.0) but after optimising my model using `BayesSearchCV`, I can see all of the normal...

AyrtonB