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
Arguments
inDirPath to the analysis directory
Method isParamGridIdentical()
Checks whether the parameter grid in the model settings is identical to
the cached parameters.
Usage
trainingCache$isParamGridIdentical(inModelParams)
Arguments
inModelParamsParameter grid from the model settings
Method saveGridSearchPredictions()
Saves the grid search results to the training cache
Usage
trainingCache$saveGridSearchPredictions(inGridSearchPredictions)
Arguments
inGridSearchPredictionsGrid search predictions
Method saveModelParams()
Saves the parameter grid to the training cache
Usage
trainingCache$saveModelParams(inModelParams)
Arguments
inModelParamsParameter grid from the model settings
Method getGridSearchPredictions()
Gets the grid search results from the training cache
Usage
trainingCache$getGridSearchPredictions()
Method isFull()
Check if cache is full
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()
Trims the performance of the hyperparameter results by removing
the predictions from all but the best performing hyperparameter
Usage
trainingCache$trimPerformance(hyperparameterResults)
Arguments
hyperparameterResultsList of hyperparameter results
Method clone()
The objects of this class are cloneable with this method.
Usage
trainingCache$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
