make_cll_gradient

<p>Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights</p>

internal

State-of-the art algorithms for learning discrete Bayesian network classifiers from data, including a number of those described in Bielza & Larranaga (2014) <doi:10.1145/2576868>, with functions for prediction, model evaluation and inspection.

Mihaljevic Bojan

bnclassify

Learning Discrete Bayesian Network Classifiers from Data

Bielza Concha

Larranaga Pedro

Wickham Hadley

make_cll_gradient function

Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights — make_cll_gradient

Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights

make_cll_gradient: Returns a function to compute the gradient of negative conditional log-likelihood with respect to feature weights

Description

Usage

Arguments