CBDA_Consolidation: CBDA Consolidation function for Compressive Big Data...
In CBDA: Compressive Big Data Analytics

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**).

1 2	CBDA_Consolidation(top, max_covs, M, misValperc, range_k, range_n, label, workspace_directory = tempdir())

`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