# Parallel Digital Soil Mapping using Machine Learning

## Documentation for package ‘ParallelDSM’ version 0.3.7

- DESCRIPTION file.

## Help Pages

CVfunction | For the gap between the predicted value and expected value of the model, the model validates the function
DataProcess | Parallel computing initialization preparation(This function is not open to users)
df.dem | Sampling test data of the dem
df.input | Sampling test data
df.mrrtf | Sampling test data of the mrrtf
df.plancur | Sampling test data of the plancur
df.procur | Sampling test data of the procur
df.twi | Sampling test data of the twi
GetPredictorSubset | calculation function for cutting spatial data (tool function,Not as an open function, only for function calls)
InsepectionVariable | A function that checks the parallel computation for missing data
Insepect_MLR | A function that checks the parallel computation for missing data of MLR model.
Insepect_QRF | A function that checks the parallel computation for missing data of QRF model.
Insepect_RF | A function that checks the parallel computation for missing data of RF model.
MergingTiles | A function that combines the results of parallel cutting into a single file
NormalizeData | Standardize and normalize data elements
ParallelComputing | ParallelComputing Functions
ParallelInit | As a data ParallelIniting function, sets some global variables that are not visible to the user
ParallelInit_Test | Data initialization function is the first step to complete parallel training
smalltesttoy | Black box test function to test whether R package was installed successfully