Regression.jl
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lindahua
Algorithms for regression analysis (e.g. linear regression and logistic regression)
release will change over time, but your REQUIRE file says this package supports julia 0.4 so it should continue to be tested
I'm planning on using Regression to do multinomial least squares, but when I tried to load the command after `using Regression`, it wasn't found. Naturally, I tried to test the...
This package seems to have the best coverage of regression-style problems in the Julia ecosystem, but the last update was a year ago and it no longer works on v0.5....
It does not look like this package supports sample weighting. But am I missing something? Seems like it would be useful to clarify this to prevent others from digging around...
A quick look at `solve.jl` gave me the impression that this package's optimization routines are generic implementations (not taking advantage of the specific linear regression setting). Could you comment on...
I run the first example: julia> ret = Regression.solve( logisticreg(X, XX; bias=1.0), reg=SqrL2Reg(1.0e-2), options=Options(verbosity=:iter, grtol=1.0e-6*n) ) and I got this: **ERROR:** UndefVarError: `logisticreg` not defined I search the sources for...
