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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>.
Package details |
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Author | Masaaki Takada |
Maintainer | Masaaki Takada <tkdmah@gmail.com> |
License | MIT + file LICENSE |
Version | 0.0.2 |
URL | http://proceedings.mlr.press/v84/takada18a/takada18a.pdf |
Package repository | View on CRAN |
Installation |
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