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catboost grid search

copier answered on April 4, 2023 Popularity 3/10 Helpfulness 4/10

answer catboost grid search

catboost grid search

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Catboost.grid_search

from catboost import CatBoost
import numpy as np

train_data = np.random.randint(1, 100, size=(100, 10))
train_labels = np.random.randint(2, size=(100))

model = CatBoost()

grid = {'learning_rate': [0.03, 0.1],
        'depth': [4, 6, 10],
        'l2_leaf_reg': [1, 3, 5, 7, 9]}

grid_search_result = model.grid_search(grid, 
                                       X=train_data, 
                                       y=train_labels, 
                                       plot=True)

Popularity 3/10 Helpfulness 4/10 Language python

Source: catboost.ai

Tags: catboost grid-search python

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Contributed on Apr 04 2023

copier

0 Answers Avg Quality 2/10

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