Julia-Machine-Learning-Review

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Tuning dispatch framework for discussion

2

At the moment tuning seems to be implemented as a function that changes the parameters of a Learner. ``` """ Tunes learner given a task and parameter sets. Returns a...

gbohner

I don't know if you guys have had a look at [QueryVerse](https://github.com/davidanthoff/Queryverse.jl), looks like something to be considered at least for the data wrangling part. (Only it does not seem...

tlienart

AutoGrad through model does not work properly. Does this work with one of the other autodiff packages http://www.juliadiff.org/ ```julia using MLMetrics function tmp(s::AutoGrad.Rec{Float64}) model = SModel(data[:, [1,2,3]], data[:, 4], nothing,s*ones(3),...

vollmersj

DecisionTree notebook

3

```julia # I would strongly suggest not running past n=4 n = 5 ``` is a bit funny. Re benchmark with Python do you 1. have some idea why DecisionTree.jl...

tlienart

MLLabelUtils, MLPreproc

2

I'm under the impression that JuliaDB has its own One Hot Encoding facility so that MLlabelutils would effectively become deprecated, is this correct? Same question for MLPReprocessoing

tlienart

I think the `REQUIRE` file from that package may be incomplete. `LossFunctions` (cf. error message) is a package that you should be able to add pretty easily with `Pkg.add("LossFunctions")` ?

tlienart