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paypal / autosklearn-zeroconf

autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
BSD 3-Clause "New" or "Revised" License
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Graph in the README should be a scatter plot. #17

Open halflings opened 5 years ago

halflings commented 5 years ago

Really nitpicky remark, but it doesn't make sense to interpolate eval results between two different models, so a line plot is not appropriate (the wild drops/increases in loss make it hard to read as well). A scatter plot would convey the idea better I think!

Motorrat commented 5 years ago

You have a point on interpolation meaning. However the model are combined into ensembles so there might be some meaning to that too. Yet visually I like the line plot and had only positive feedback so far. On the contrary, a scatter plot version didn’t look as illustrative. You’re welcome to submit your version of this plot, or any other illustration. It would be a great improvement to have more illustrations here.