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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
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What needs to be done to make n_jobs work properly on sklearn? in particular on ElasticNetCV?
Having profiled and stepped through sklearn´s code, I´ve got some answers.
The summary:
Contrary to what has been suggested, sklearn's ElasticNetCV()'s poor scalability to n_jobs is not due to:
t …
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What needs to be done to make n_jobs work properly on sklearn? in particular on ElasticNetCV?
The constructor of sklearn.linear_model.ElasticNetCV takesn_jobs as an argument.
Quoting the documentation here
n_jobs: int, default=None
Number of CPUs to use during the cross validation. None means …