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7 Μαρ 2019 · 1 Answer. Sorted by: 37. In recent versions, these modules are now under sklearn.model_selection, and not any more under sklearn.grid_search, and the same holds true for train_test_split (docs); so, you should change your imports to: from sklearn.model_selection import RandomizedSearchCV.
class sklearn.model_selection.GridSearchCV(estimator, param_grid, *, scoring=None, n_jobs=None, refit=True, cv=None, verbose=0, pre_dispatch='2*n_jobs', error_score=nan, return_train_score=False) [source] #. Exhaustive search over specified parameter values for an estimator. Important members are fit, predict.
8 Σεπ 2017 · Option 1. If one wants to install it in the root and one follows the requirements - (Python (>= 2.7 or >= 3.4), NumPy (>= 1.8.2), SciPy (>= 0.13.3).) - the following should solve the problem. conda install scikit-learn. Alternatively, as mentioned here, one can specify the channel as follows.
29 Σεπ 2019 · grid_search import error while running classifier.py. Expected behavior. The image should get classified properly. Actual behavior. The following error is shown: ImportError: No module named grid_search. Steps to reproduce.
6 Οκτ 2024 · If you've encountered the error "ModuleNotFoundError: No module named 'sklearn'" when trying to import scikit-learn in your Python script, don't worry. This article will guide you through several solutions to resolve this common issue.
10 Μαΐ 2024 · Learn how to quickly fix the ModuleNotFoundError: No module named 'sklearn' exception with our detailed, easy-to-follow online guide.
This error occurs when Python cannot detect the Scikit-learn library in your current environment, and Scikit-learn does not come with the default Python installation. This tutorial goes through the exact steps to troubleshoot this error for the Windows, Mac and Linux operating systems.
