I like your changes Andy. It's definitely easier to navigate. I'm currently
also changing your graph from
http://peekaboo-vision.blogspot.de/2013/01/machine-learning-cheat-sheet-for-scikit.htmlinto
a documentation-linking version that can be added to the
documentation. I'll try put an online build of it up within the hour or
so.. so have a think if we can add that somewhere nice as it is very useful
and will now link to the various parts of
the mentioned estimators' documentation pages. I've got some other things
on my plate, but I'd be happy to assist on this reworking. Let me know what
I can do :)
great work!
2013/3/5 Andreas Mueller <[email protected]>
> On 03/05/2013 11:12 AM, Olivier Grisel wrote:
> > This looks good. Maybe we could reintroduce a canonical snippet on the
> > home page:
> >
> >>>> from sklearn.datasets import load_digits
> >>>> from sklearn.cross_validation import train_test_split
> >>>> from sklearn.svm import LinearSVC
> >>>> digits = load_digits()
> >>>> X_train, X_test, y_train, y_test = train_test_split(
> > ... digits.data, digits.target, random_state=42)
> > ...
> >>>> LinearSVC().fit(X_train, y_train).score(X_test, y_test)
> > 0.966...
> >
> > And then a link to the short tutorial.
> >
> Good Idea. I really have to start working on my slides now, though ;)
>
>
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