Questions tagged [elastic-net]

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Why is the L2 penalty squared but the L1 penalty isn't in elastic-net regression?

There was some data set I worked with which I wanted to solve non negative least squares (NNLS) on and I wanted a sparse model. After a bit of experiementing I found that what worked the best for me ...
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What is the purpose of positive parameter in sklearn.linear_model.ElasticNet?

I saw this parameter in the sklearn.linear_model.ElasticNet. What is the purpose of this? What is the possible scenario where we want to force the coefficients to ...
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Why are we not checking the significance of the coefficients in Lasso and elastic net models

As far as I know, we don't check the coefficient significance in Lasso and elasticnet models. Is it because insignificant feature coefficients will be driven to zero in these models?. Does that mean ...
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How to determine elastic net models coefficient significance?

I have a small dataset with just 160 data points. When I tried ordinary linear regression on the data, I could not add more than four features without vif inflating greater than 5 (I made a stepwise ...
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1 answer
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I am curious about the interpretation of the elastic Net coefficient

I want to discover the importance of variables in data through sklearn's Elactic Net. But I don't understand the exact meaning of coefficient. When training, I used alpha: 0.01585598, l1_ratio: 1.000. ...
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Using BERT for search engine with an Elastic Database

I want to make Documents search engine where the user will type a query and top n relevant documents should be shown. I want to use BERT for the searching and the first question is can i use it with ...
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326 views

Can elastic net l1 ratio be greater than 1?

I have multiple datasets that I trained with ElasticNetCV (sklearn), and I noticed that many of them selected l1_ratio = 1 as ...
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1 vote
2 answers
386 views

What is the meaning of the sparsity parameter

Sparse methods such as LASSO contain a parameter $\lambda$ which is associated with the minimization of the $l_1$ norm. Higher the value of $\lambda$ ($>0$) means that more coefficients will be ...
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ElasticNet Convergence odd behavior

I am optimizing a model using ElasticNet, but am getting some odd behavior. When I set the tolerance hyperparameter with a small value, I get ...
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9 votes
3 answers
10k views

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, ...
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Platt Scaling vs Isotonic Regression for reliability curve

I am learning classifier probability calibrations and have calibrated an eleastic net model using both Platt scaling and isotonic regression. As you can see in the attached image Platt scaling (on the ...
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