Julia 1.3, 1.4 on MacOS and Intel MKL Error

Internals & Design Internals
16

In my original error post (Feb 18) the following models did not work:

        [ "ARDRegressor", "BayesianRidgeRegressor", "ElasticNetCVRegressor",
        "GaussianProcessRegressor", "LarsCVRegressor", "LarsRegressor",
        "LassoCVRegressor", "LassoLarsCVRegressor", "LassoLarsICRegressor",
        "LassoLarsRegressor", "OrthogonalMatchingPursuitCVRegressor",
        "OrthogonalMatchingPursuitRegressor" ]

I reran all regressions (continuous Y). The following don’t work

[ "ARDRegressor",  #PyError
"RANSACRegressor", #PyError
"BayesianRidgeRegressor",#Takes Forever
"RidgeCVRegressor" #worked 5min ago. now Takes Forever. 
]

I can live w/o these. But I’m concerned about the stability of MLJ & the overall ecosystem.
ScikitLearn.jl always worked

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