Parallel Digital Soil Mapping using Machine Learning

Documentation for package ‘ParallelDSM’ version 0.3.7

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