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Do you plan on exposing parameters that control the fitting process? E.g. loss function / tree depth / min samples per leaf? Or will the fitting process always
by shoo 15y ago
Do you plan on exposing parameters that control the fitting process? E.g. loss function / tree depth / min samples per leaf? Or will the fitting process always be a black-box automagic call with no user-controllable knobs?
Is there any plan to provide some assessment of model accuracy via the API - e.g. K-fold cross validation with respect to some specified loss function?
- jdonaldson 15y agoWe do a little automagic currently, but we'll expose some of the knobs soon, probably first via the API. Expressing model confidence and handling loss functions are being worked on right now. Did I mention we're hiring? Someone with the right combination of big data and machine learning skills can make a big impact. https://bigml.com/team https://bigml.com/team