About 66 results
Open links in new tab
  1. python - How to get Best Estimator on GridSearchCV (Random Forest ...

    May 7, 2015 · How to get Best Estimator on GridSearchCV (Random Forest Classifier Scikit) Asked 10 years, 8 months ago Modified 5 years, 4 months ago Viewed 173k times

  2. python - GridSearchCV final model - Stack Overflow

    Mar 23, 2018 · If I use GridSearchCV in scikit-learn library to find the best model, what will be the final model it returns? That said, for each set of hyper-parameters, we train the number of CV (say 3) …

  3. How to graph grid scores from GridSearchCV? - Stack Overflow

    May 11, 2016 · I am looking for a way to graph grid_scores_ from GridSearchCV in sklearn. In this example I am trying to grid search for best gamma and C parameters for an SVR algorithm. My code …

  4. Use sklearn's GridSearchCV with a pipeline, preprocessing just once

    Apr 12, 2017 · I'm using scickit-learn to tune a model hyper-parameters. I'm using a pipeline to have chain the preprocessing with the estimator. A simple version of my problem would look like this: …

  5. ¿Cómo funciona GridSearchCV con respecto a los parámetros en python?

    Aug 16, 2022 · Yo creo que en el artículo te lo explica bien: "En el ejemplo se utiliza un modelo Ridge en el que se prueban diferentes valores de alpha que se evalúan con GridSearchCV. Una vez …

  6. How to use GridSearchCV for comparing multiple models along with ...

    How to use GridSearchCV for comparing multiple models along with pipeline and hyper-parameter tuning in python Asked 5 years, 8 months ago Modified 4 years, 5 months ago Viewed 4k times

  7. GridSearchCV: How to specify test set? - Stack Overflow

    GridSearchCV is not designed for measuring the performance of your model but to optimize the hyper-parameter of classifier while training. And when you write gs_clf.fit you are actually trying different …

  8. Does GridSearchCV actually fit the best model to the training data, or ...

    Mar 6, 2021 · Does GridSearchCV actually fit the best model to the training data, or do you have to refit after hyperparameter optimisation? Ask Question Asked 4 years, 10 months ago Modified 3 years, 1 …

  9. How to use GridSearchCV (python) for maximizing or minimizing a ...

    Jan 31, 2020 · GridSearchCV will then know how to deal with it. This might be overkill for your problem though. Regarding bayesian optimisation, it is interesting if your problem meets the following …

  10. Как правильно использовать GridSearchCV в sklearn?

    Jun 16, 2021 · Имею: код, строящий GridSearchCV с KNN классификатором. from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import GridSearchCV param_grid = …