likelihoodMediboostChooseFeat

rtemis internal: likelihoodMediboostChooseFeat
Selects a feature with maximum information gain and provides the decision values
and column index for the chosen feature

internal

Advanced Machine Learning and Visualization made efficient and accessible. Unsupervised Learning (Clustering, Decomposition), Supervised Learning (Classification, Regression, Survival Analysis), Cross-Decomposition, Bagging, Boosting, Meta-models. Static and dynamic graphs.

Efstathios D. Gennatas

rtemis

Machine Learning and Visualization

likelihoodMediboostChooseFeat function

rtemis internal: likelihoodMediboostChooseFeat
Selects a feature with maximum information gain and provides the decision values
and column index for the chosen feature — likelihoodMediboostChooseFeat

rtemis internal: likelihoodMediboostChooseFeat
Selects a feature with maximum information gain and provides the decision values
and column index for the chosen feature

likelihoodMediboostChooseFeat: rtemis internal: likelihoodMediboostChooseFeat Selects a feature with maximum information gain and provides the decision values and column index for the chosen feature

Description

Usage

Arguments