tune_lambda_helper: Helper Function for 'Tune_Lambda()'

In activetext/activeR: a semi-supervised active learning algorithm for text classification.

Helper Function for 'Tune_Lambda()'

Description

helper function for tune_lambda()

Usage

tune_lambda_helper(
  i,
  docs,
  docName,
  index_name,
  n_cluster,
  labelsName,
  initSize,
  initIndex,
  lambda,
  maxQuery,
  whichOutTest,
  maxActive,
  seed,
  verbose = TRUE
)

Arguments

i	Iteration number.
docs	Dataframe for courpus.
docName	String; name of variable for document text.
index_name	String; name of variable for corpus index.
n_cluster	Int; number of clusters.
labelsName	String; name of variable for document labels.
initSize	Int; number of docs to initialize model with.
initIndex	vec; Value to initialize model with.
lambda	float; lambda value for weighting.
maxQuery	int; max number of documents ot query per iteration.
whichOutTest	vec; Index values to use for out-of-sample validation.
seed	int; Seed value for randomization.
verbose	logical; Denotes whether model progress is printed.

Value

Statistics summary for active_EM() iteration.

activetext/activeR documentation built on May 31, 2024, 10:21 a.m.