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Data sets for machine learning in Python

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# Issue Type [x] Bug (Typo) # Steps to Replicate and Expected Behaviour - Examine setup.py and observe `supress`, however expect to see `suppress`. - Examine skdata/vanhateren/dataset.py and observe `stricly`,...

added installation step for requirements.txt, also modified command pip install --user to pip install --user skdata as in previous installation was not working.

When I execute ``` # Create a suitable view of the Iris data set. # (For larger data sets, this can trigger a download the first time) from skdata.iris.view import...

These additions are backwards compatible with python2 and do not affect the functionality of the code

when i call main_show(), i get the AttributeError: 'module' object has no attribute 'colormap'; the source code is like: cmap=glumpy.colormap.Grey; How can i resolve it?

Currently skdata is not working with 2to3: installing from `pip3 install skdata` will get an error: ``` RefactoringTool: Can't open /tmp/pip_build_root/skdata/build/py3k: [Errno 2] No such file or directory: '/tmp/pip_build_root/skdata/build/py3k' ```

http://yaroslavvb.blogspot.com/2009/08/new-robust-ocr-dataset.html http://yaroslavvb.com/bib_digits_dataset.tar.gz

New Dataset

The project name should really be scikit-data. Other scikits including scikit-learn, scikit-image and scikit-bio all use this name convention. I think a bit of consistency would help strengthen the scikit...

standardized splits and tests -- @jaberg, @npinto, your comments would be great Comments on how things are done are in the test_pubfig83 file.