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Implement linear regression + 2 solving methods + regularization. Includes hyperparameter tuning and making graphs for speed and accuracy of various combinations.
implementation
- [x] Matrix inver…
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I am using the smile package for LASSO regression. The requirement is that we need to use 3 fold cross validation to find hyper-parameter lambda. How to find lambda with the methods provided under Cro…
ghost updated
5 years ago
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Accuracy decreased.
dataset: https://www.kaggle.com/artyomsalnikov/dataset-3
code: https://yadi.sk/d/xAsaL-TPGZe09A
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I'm using a very large data-set. After fitting 100 x 3-fold cross-validated LASSOs at lightning speed (a few seconds total), LassoCV stalls at the final hurdle: fitting a LASSO with the chosen alpha v…
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**Submitting author:** @pssachdeva (Pratik Sachdeva)
**Repository:** https://github.com/BouchardLab/pyuoi
**Version:** 1.0.0
**Editor:** @terrytangyuan
**Reviewers:** @puolival, @yzhao062
**Author i…
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Hello,
I modified the sample code in tutorial so that it could work for a regression problem. Please ignore the model and parameter selection, it is just for testing.
base_learners = [Lasso(…
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Dear all,
I have a problem implementing the cross price elasticity example. In particular I have a dataset consisting of an unbalanced panel of quantities sold of products and prices (so quantitie…
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Thank you for your work!
My question is: why `select_f_fs()` and `select_f_hw()`, used in the model selection step, have fixed `lambda = 0` in `glmnet()`?
From the help of `glmnet()`, we see that t…
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Simple Regression
Ridge Regression
Lasso Regression
Quadratic Regression
Response surface Regression