Test errors: FloatingPoint not defined (julia 0.5.0)

[dsweber2]

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 package, it returns:

ERROR: LoadError: LoadError: LoadError: LoadError: LoadError: UndefVarError: FloatingPoint not defined
 in include_from_node1(::String) at ./loading.jl:488 (repeats 2 times)
 in eval(::Module, ::Any) at ./boot.jl:234
 in require(::Symbol) at ./loading.jl:415
 in include_from_node1(::String) at ./loading.jl:488
 in eval(::Module, ::Any) at ./boot.jl:234
 in require(::Symbol) at ./loading.jl:415
 in include_from_node1(::String) at ./loading.jl:488
 in macro expansion; at /home/david/.julia/v0.5/Regression/test/runtests.jl:12 [inlined]
 in anonymous at ./<missing>:?
 in include_from_node1(::String) at ./loading.jl:488
 in process_options(::Base.JLOptions) at ./client.jl:262
 in _start() at ./client.jl:318
while loading /home/david/.julia/v0.5/EmpiricalRisks/src/common.jl, in expression starting on line 35
while loading /home/david/.julia/v0.5/EmpiricalRisks/src/EmpiricalRisks.jl, in expression starting on line 84
while loading /home/david/.julia/v0.5/Regression/src/Regression.jl, in expression starting on line 6

On a side note, I've tried GLM, GLMnet, and Lasso, and it looks to me like none of these had multinomial logistic regression implemented. Do you know if this is true?

[juliohm]

I second the issue on Julia v0.5.

[Cody-G]

I don't get this error anymore when on the master branches of Regression.jl and EmpiricalRisks.jl

Still more work was necessary to get tests passing, I have two open PRs now for that:

https://github.com/lindahua/EmpiricalRisks.jl/pull/19

#18