Python notebook on GtSt testing procedures on the LARS path. Code associated with the manuscript "Multiple Testing and Variable Selection along Least Angle Regression's path" (J.-M. Azaïs & Y. De Castro)

Large Batch Training of Convolutional Networks with Layer-wise Adaptive Rate Scaling

Machine Learning & Python in Finance

Code of the least angle regression solution path by hand for an example( p=5). Then we compute the solution path for a dataset and compare it with the LASSO path.

系统学一下C艹 银行不要gopher啊 :(

In this work, we consider learning sparse models in large scale setting, where the number of samples and the feature dimension can grow as large as millions or billions. Two immediate issues occur under such challenging scenarios: (i) com- putational cost; (ii) memory overhead.

Funciones utilles para PyTorch.

U statistici , regresija najmanjeg ugla (LARS) algoritam je za prilagođavanje modela linearne regresije visokodimenzionalnim podacima, koji je razvio Bradley Efron , Trevor Hastie , Iain Johnstone i Robert Tibshirani .

O site da maior banda já existida em todos os tempos

Implementation of Relaxed Lasso Algorithm for Linear Regression.

R packages which implements most known linear regression model: pls, OLS, ridge, lasso, LAR, principal components regression...

a light-weight implementation of LARS (least angle regression)

Implementation of Relaxed Lasso Algorithm for Linear Regression.

PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)

This is implementation Lasso with Coordinate Descent and LARS (Least Angle Regression).