install_neuralGAM

Creates a conda environment (installing miniconda if required) and set ups the
Python requirements to run neuralGAM (Tensorflow and Keras).
Miniconda and related environments are generated in the user's cache directory
given by:
<code>tools::R_user_dir('neuralGAM', 'cache')</code>

Neural Additive Model framework based on Generalized Additive Models from Hastie & Tibshirani (1990, ISBN:9780412343902), which trains a different neural network to estimate the contribution of each feature to the response variable. The networks are trained independently leveraging the local scoring and backfitting algorithms to ensure that the Generalized Additive Model converges and it is additive. The resultant Neural Network is a highly accurate and interpretable deep learning model, which can be used for high-risk AI practices where decision-making should be based on accountable and interpretable algorithms.

Ines Ortega-Fernandez

neuralGAM

install_neuralGAM: Install neuralGAM python requirements

Description

Usage

Arguments