CBDA_Top_Ranked {CBDA}R Documentation

CBDA Top-Ranked selection function for Compressive Big Data Analytics

Description

This CBDA function has all the features of the *Consolidation()* function but allows to choose a different **top** value (i.e., different from the one specified in the main *CBDA()* function

Usage

CBDA_Top_Ranked(top_new = 500, label = "CBDA_package_test", Kcol_min = 5,
  Kcol_max = 15, Nrow_min = 30, Nrow_max = 50, misValperc = 0,
  M = 3000, workspace_directory = getwd())

Arguments

top_new

The new value for the Top predictions to select out of the M

label

This is the label appended to RData workspaces generated within the CBDA calls

Kcol_min

Lower bound for the percentage of features-columns sampling (used for the Feature Sampling Range - FSR)

Kcol_max

Upper bound for the percentage of features-columns sampling (used for the Feature Sampling Range - FSR)

Nrow_min

Lower bound for the percentage of cases-rows sampling (used for the Case Sampling Range - CSR)

Nrow_max

Upper bound for the percentage of cases-rows sampling (used for the Case Sampling Range - CSR)

misValperc

Percentage of missing values to introduce in BigData (used just for testing, to mimic real cases).

M

Number of the BigData subsets on which perform Knockoff Filtering and SuperLearner feature mining

workspace_directory

Directory where the results and workspaces are saved

Value

value


[Package CBDA version 1.0.0 Index]