CBDA_Validation.pipeline: CBDA Validation function for Compressive Big Data Analytics -...

Description Usage Arguments Value

View source: R/CBDA_Validation.pipeline.R

Description

This CBDA function generates *max_covs - min_covs* nested models based on the ranking returned by the *Consolidation* function. It also consolidates all the *max_covs - min_covs* workspaces into a single one.

Usage

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CBDA_Validation.pipeline(job_id_val, Ytemp, Xtemp,
  label = "CBDA_package_test", alpha = 0.2, Kcol_min = 5, Kcol_max = 15,
  Nrow_min = 30, Nrow_max = 50, misValperc = 0, M = 3000, N_cores = 1,
  top = 1000, workspace_directory = tempdir(), max_covs = 100,
  min_covs = 5)

Arguments

job_id_val

This is the ID for the job generator in the LONI pipeline interface

Ytemp

This is the output variable (vector) in the original Big Data

Xtemp

This is the input variable (matrix) in the original Big Data

label

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

alpha

Percentage of the Big Data to hold off for Validation

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

N_cores

Number of Cores to use in the parallel implementation

top

Top predictions to select out of the M

workspace_directory

Directory where the results and workspaces are saved

max_covs

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

min_covs

Minimum number of top features to include in the initial model for the Validation Step

Value

value


CBDA documentation built on May 1, 2019, 8:23 p.m.