Comments (8)
I have the same error. It seems Boston dataset is removed from scikit-learn. Since mglearn lib also calls load_boston, the import of mglearn results in error.
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I am using Google Colab and used the following:
pip install "scikit-learn<1.2"
When I try to import mglearn, it worked.
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Yeah, seems a chronic error, because I can't find a post about it. That makes it impossible to call any method or function about.
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So sad. I really want to practice by using it
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Yes, downgrading is currently the only solution, sorry. The book needs to be rewritten with a different dataset.
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I'll try to do a temporary fix asap.
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Related Issues (20)
- Solved problem in [66] ndarray DecisionTreeRegressor page 81.
- Bug in plot_cross_val_selection method HOT 3
- Mglearn : Memory(cachedir="cache") HOT 8
- Problem with Boston Housing Data HOT 3
- TypeError: __init__() got an unexpected keyword argument 'cachedir' HOT 3
- Section 2.5 ("Summary and Outlook") seems to be blank HOT 2
- got HTTPError: HTTP Error 403: Forbidden when execute fetch_lfw_people HOT 2
- Figure 2.38 - UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored HOT 6
- Different results when using unsupervised learning and faces dataset HOT 1
- ImportError: `load_boston` has been removed from scikit-learn since version 1.2. HOT 3
- ModuleNotFoundError: No module named 'sklearn.externals.six' HOT 1
- ModuleNotFoundError: No module named 'MGLEARN' in Jupyterlab browser version HOT 2
- Intro2MLpython HOT 1
- mglearn error HOT 4
- get_feature_names() -> get_feature_names_out() HOT 4
- New spaCy version requires
- New spaCy version requires "en_core_web_sm" full name instead of just "en"
- Ml - введение в машинное обучение
- mglearn.plots.plot_pca_faces(X_train, X_test, image_shape) HOT 2
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