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r / packages / r-iilasso

Efficient algorithms for fitting linear / logistic regression model with Independently Interpretable Lasso. Takada, M., Suzuki, T., & Fujisawa, H. (2018). Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables. AISTATS. <http://proceedings.mlr.press/v84/takada18a/takada18a.pdf>.

Type Size Name Uploaded Downloads Labels
conda 553.5 kB | linux-64/r-iilasso-0.0.2-r42h884c59f_0.tar.bz2  2 years and 8 months ago 52 main
conda 565.7 kB | win-64/r-iilasso-0.0.2-r36h796a38f_0.tar.bz2  4 years and 10 months ago 89 main
conda 545.2 kB | osx-64/r-iilasso-0.0.2-r36h466af19_0.tar.bz2  4 years and 10 months ago 20 main
conda 549.4 kB | linux-64/r-iilasso-0.0.2-r36h29659fb_0.tar.bz2  4 years and 10 months ago 67 main

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