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LowRankModels.jl is a julia package for modeling and fitting generalized low rank models.

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DataFrames has now released their v1.0, but this repo still locks its dependency to some prior versions, which can lead to compat issues with other packages. It would be great...

I tried to make the minimal changes here to make this package work with recent versions of Julia and package dependencies. Currently this package drastically downgrades DataFrames and probably other...

The variable A in the first example is not defined. I fixed that small typo.

running the tests was erroring with: ``` ERROR: LoadError: LoadError: LoadError: type CategoricalValue has no field value Stacktrace: [1] getproperty(x::CategoricalValue{String, UInt8}, f::Symbol) @ Base ./Base.jl:33 [2] isnan(x::CategoricalValue{String, UInt8}) @ LowRankModels...

Since julia 1.0 has `missing` built in it would be nice to just naturally support it. Rather than having to pass in `obs` specifically. Example using `pca`. ```julia julia> data...

Hi there, This looks a great package. I'm particularly interested in the ability to fit LRMs to datasets with missing data (or in my case, outliers that need to be...

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- Previously we couldn't use NonNegQuadReg because it was not declared a subtype of Regularizer, as GLRM methods' signatures require it to be. - The `evaluate` method for NonNegQuadReg used...