CBDA_Consolidation.pipeline {CBDA}R Documentation

CBDA Consolidation function for Compressive Big Data Analytics - LONI pipeline

Description

This CBDA function consolidates all the M workspaces generated in the Learning/Training step into a single workspace. It also ranks all the predictive models and selects the **top** ones to be sifted for top predictive features to be passed to the next step (i.e., **the Validation Step**).

Usage

CBDA_Consolidation.pipeline(top, max_covs, M, misValperc, range_k, range_n,
  label, workspace_directory = tempdir())

Arguments

top

Top predictions to select out of the M

max_covs

Top features to display and include in the Validation Step where nested models are tested

M

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

misValperc

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

range_k

Features Sampling Range - FSR

range_n

Cases Sampling Range - CSR

label

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

workspace_directory

Directory where the results and workspaces are saved

Value

value


[Package CBDA version 1.0.0 Index]