Comments (2)
I think providing a docker file might be beneficial. I don't think I have the bandwidth to maintain a docker image.
Ideally I'd like to have the requirements of the book to be so easy to install that readers don't need docker. Ideally, after reading the book, they have a setup that they can use in the future.
It seems that installing spacy is not that easy, and there are some minor issues with graphviz.
I think it would be better to try to fix these issues upstream, for example by ensuring there's an up-to-date spacy package in the conda main distribution.
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see ContinuumIO/anaconda-issues#2649
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Related Issues (20)
- 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
- I was trying to import make_forge from mglearn, it threw Import error about load buston. How does load Boston relate with make_forge? HOT 8
- 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
- mglearn/load_boston issue HOT 6
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