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7 Μαρ 2019 · 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.
So using pip search scikit-learn, I get this search result: scikit-learn - A set of python modules for machine learning and data mining. INSTALLED: 0.12.1 (latest) But when I go into Python and try to import sklearn, I get an ImportError: No module named sklearn. This really should have just worked.
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.
Install the 64-bit version of Python 3, for instance from the official website. Now create a virtual environment (venv) and install scikit-learn. Note that the virtual environment is optional but strongly recommended, in order to avoid potential conflicts with other packages.
10 Μαΐ 2024 · Learn how to quickly fix the ModuleNotFoundError: No module named 'sklearn' exception with our detailed, easy-to-follow online guide.
19 Ιαν 2023 · When running Python code, sometimes you will see an error saying ModuleNotFoundError: No module named 'sklearn'. This error means that Python can’t find the sklearn module. You may not have the sklearn module installed, or the module is installed in a different environment.
A common error you may encounter when using Python is modulenotfounderror: no module named ‘sklearn’. 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.
