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        "description": "outerspace\n==========\n\nAn interactive widget for Jupyter notebooks to explore the parameters of t-SNE\nor UMAP.\n\n![outerspace demo](demo.gif)\n\nInstallation\n------------\n\n```bash\npip install outerspace\n```\n\nAdditionally, if you use `jupyter notebook`:\n```bash\njupyter nbextension enable --py widgetsnbextension\n```\n\n... or for `jupyter lab`:\n```bash\njupyter labextension install @jupyter-widgets/jupyterlab-manager\njupyter labextension install jupyterlab_bokeh\n```\n\nUsage\n-----\n\nRun t-SNE on the digits data set (see result in the image above):\n\n```python\nfrom outerspace import tsne_playground\nfrom sklearn.datasets import load_digits\ndigits = load_digits()\nX, y = digits.data, digits.target\ntsne_playground(X, y)\n```\n\nShow the actual digit images in a tooltip:\n\n```python\nfrom outerspace import tsne_playground, array2d_to_html_img\nfrom sklearn.datasets import load_digits\n\ndigits = load_digits()\nX, y, images = digits.data, digits.target, digits.images\n\nimages = 256 - images * 16      # convert range and invert\nimages = images.clip(0, 255)    # clip values at 255\nimages = images.astype('uint8') # convert to uint8\nimages = [array2d_to_html_img(image, resize=(32,32))\n          for image in images]  # convert to HTML images\n\ntsne_playground(X, y,\n                additional_columns=dict(images=images),\n                tooltips='@images{safe}') # safe = do not escape HTML\n```",
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