adaboostTrain: Train a set of Adaboost models

In ShaoxunLiu/proteinStructureBoost: Generate Boosting Model for Structured Protein

Description

Train Adaboost models for multiple rounds and get model F1 for each round.

Usage

adaboostTrain(
  featureMatrix,
  testFold = 5,
  rounds = 10,
  threshold = 0.5,
  iteration = 10,
  mfinal = 100,
  mfinal.sequence = NA
)

Arguments

featureMatrix	The data.frame that featureMatrix function outputs.
testFold	Portion of data.frame to be used as Test set.
threshold	The proportion of positive votes to be seen as consensus.
iteration	Number of iterations in training round.
mfinal	The mfinal value in boosting function. See more in ?adabog::boosting
mfinal.sequence	The list of mfinal values used. Length must be the same as iteration. Only enter when mfinal is not provided.
round	Number of training rounds.

Value

The adaboost model with the highest augmented F1 value and vecters of all pre-augmented and augmented rounds.

ShaoxunLiu/proteinStructureBoost documentation built on Dec. 18, 2021, 1:05 p.m.