its.ml.cross_validation: massits machine learning functions
In rolfsimoes/massits: Massive Satellite Image Time Series

Description Usage Arguments Value Author(s)

Proceeds a cross validation for a given machine learning method. The number of partitions is given by cross parameter. The result is a tibble with a "reference" and "predicted" columns

1 2	its.ml.cross_validation(f, ml_model = its.ml.model.svm_radial(), cross = 5, cores = 1)

`f`	A massits features tibble to compose the formula expression.
`ml_model`	A valid machine learning model function
`cross`	Cross validation partitions to be test for each parameter combinations
`cores`	Number of threads to process cross-validation (Default `1`).