nb_updated_grid_scores_cat_only: Function: Grid search to estimate predicted values and...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Function: Grid search to estimate predicted values and estimate the values of h

Usage

nb_updated_grid_scores_cat_only(
  scores,
  cat_covariates_train,
  classes,
  prior_g,
  scores_test,
  cat_covariates_test,
  min.h = 0.01,
  max.h = 1.5,
  CV = 10,
  n_grid = 10,
  return_h = F,
  return_prob = F
)

Arguments

scores	N x K matrix of 1st level scores in the training set
cat_covariates_train	Covariates used in the classifier for the training set accounts
classes	Group labels vector of length N
prior_g	vector of prior probability of being in each group, sums up to 1
scores_test	N_test x K matrix of scores in the testing set
cat_covariates_test	Covariates used in the classifier for the testing set accounts
min.h	min possible value for the multiplier
max.h	maximum possible value for the multiplier
CV	Number of folds for cross validation
n_grid	number of values between min.h and max.h to search over
return_h	T/F to return the value of the multiplier
return_prob	T/F to return group Bayes classifier probability for each individual in testing set

Value

predictions from the grid search

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.