Parameter caching for training persistence and continuity

Value

Whether the provided and cached parameter grid is identical

Grid search results from the training cache

Boolen

Last grid search index

Methods


Method new()

Creates a new training cache

Usage

trainingCache$new(inDir)

Arguments

inDir

Path to the analysis directory


Method isParamGridIdentical()

Checks whether the parameter grid in the model settings is identical to the cached parameters.

Usage

trainingCache$isParamGridIdentical(inModelParams)

Arguments

inModelParams

Parameter grid from the model settings


Method saveGridSearchPredictions()

Saves the grid search results to the training cache

Usage

trainingCache$saveGridSearchPredictions(inGridSearchPredictions)

Arguments

inGridSearchPredictions

Grid search predictions


Method saveModelParams()

Saves the parameter grid to the training cache

Usage

trainingCache$saveModelParams(inModelParams)

Arguments

inModelParams

Parameter grid from the model settings


Method getGridSearchPredictions()

Gets the grid search results from the training cache

Usage

trainingCache$getGridSearchPredictions()


Method isFull()

Check if cache is full

Usage

trainingCache$isFull()


Method getLastGridSearchIndex()

Gets the last index from the cached grid search

Usage

trainingCache$getLastGridSearchIndex()


Method dropCache()

Remove the training cache from the analysis path

Usage

trainingCache$dropCache()


Method clone()

The objects of this class are cloneable with this method.

Usage

trainingCache$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.