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SimonBlanke avatar SimonBlanke commented on July 28, 2024

Hello @mlittmanabbvie,

The api-ref section of the readme and the faq was updated with the new information about pathos. I modified your example to use pathos:

import numpy as np
import pandas as pd
from hyperactive import Hyperactive
from hyperactive import RepulsingHillClimbingOptimizer


def f():
    def optimization_func(opt):
        return 5

    h = Hyperactive(distribution="pathos")
    search_space = {
        "exp": list(range(0, 5)),
        "slope": list(np.arange(0.001, 10, step=0.05)),
        "clust": [5],
    }

    h.add_search(
        optimization_func,
        search_space=search_space,
        n_iter=10,
        optimizer=RepulsingHillClimbingOptimizer(
            epsilon=0.05,
            distribution="normal",
            n_neighbours=3,
            rand_rest_p=0.03,
            repulsion_factor=3,
        ),
        n_jobs=1,
        max_score=None,
        initialize={"warm_start": [{"exp": 2, "slope": 5, "clust": 5}]},
        early_stopping={"tol_rel": 0.001, "n_iter_no_change": 3},
        random_state=0,
        memory=True,
        memory_warm_start=None,
    )
    h.add_search(optimization_func, search_space=search_space, n_iter=10)
    h.run()


f()

This works fine on my system. Let me know if it also works on yours.

from hyperactive.

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