data.hc

<p>An <code>hclust</code> tree for the 200 adjectives appearing in the TripAdvisor reviews.
The tree was generated with 100-dimensional word embeddings pre-trained by GloVe
(Pennington et al., 2014) on Gigaword5 and Wikipedia2014 corpora for the adjectives.</p>

datasets

Implementation of an alternating direction method of multipliers
algorithm for fitting a linear model with tree-based lasso regularization,
which is proposed in Algorithm 1 of Yan and Bien (2018) <arXiv:1803.06675>.
The package allows efficient model fitting on the entire 2-dimensional
regularization path for large datasets. The complete set of functions
also makes the entire process of tuning regularization parameters and
visualizing results hassle-free.

Xiaohan Yan

rare

Linear Model with Tree-Based Lasso Regularization for Rare
Features

data.hc function

<p>An object of class <code>hclust</code> of length 7.</p>

data.hc: Hierarchical clustering tree for adjectives in TripAdvisor data set

Description

Usage

Arguments

Format

References