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**Describe the bug**
in
https://www.cvxpy.org/examples/machine_learning/logistic_regression.html
cvxpy logistic regression does not reconstruct regression coefficients when gradient descent does…
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thanks for great code
do you have somewhere Sparse fused lasso code for logistric regression like
http://statweb.stanford.edu/~bjk/regreg/fusedtutorial.html
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I woke with this thing in mind, so I put it here for future reference.
I am currently working on some survey data, with a factor analysis part and exploring some psychometric networks.
Both of t…
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Hello, guys!
Any plans in the roadmap to add more techniques to vaex-ml?
I was hoping to get a super-fast Multiple Linear Regression via OLS, Lasso, Ridge, etc.
Given you already have PCA, maybe …
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## algos
* Maj Min algorithm for non-reg case (http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.206.1351&rep=rep1&type=pdf, also https://arxiv.org/pdf/1709.04126.pdf)
* ADMM for gen reg ca…
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Further to #211 :
I have introduce CI on [this branch](https://github.com/alan-turing-institute/MLJModels.jl/tree/extend-ci) for julia 1.3 and julia 1.4, where testing in [now failing](https://trav…
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Dear WMA developers
I've encountered the following errors during the WMA installation on Mac OS Catalina.
Any insight would be much appreciated.
Thanks for considering my request.
Best wis…
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The Mean Square Error returned by sklearn.cross_validation.cross_val_score is always a negative. While being a designed decision so that the output of this function can be used for maximization given …
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An important step forward with Julia in global optimisation is to consider BlackBoxOptim (https://github.com/robertfeldt/BlackBoxOptim.jl). It is very good at sorting out global versus local minima pa…
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Hey @pavanramkumar and @jasmainak, great work here!
I would like to extend this package to work with [Apache Spark](spark.apache.org). I am wondering if there is an easy way of combining two [GLM]…