sklearnToJson {PatientLevelPrediction}R Documentation

Saves sklearn python model object to json in path

Description

Saves sklearn python model object to json in path

Usage

sklearnToJson(model, path)

Arguments

model

a fitted sklearn python model object

path

path to the saved model file

Value

nothing, saves the model to the path as json

Examples


## Not run:  
sklearn <- reticulate::import("sklearn", convert = FALSE)
model <- sklearn$tree$DecisionTreeClassifier()
model$fit(sklearn$datasets$load_iris()$data, sklearn$datasets$load_iris()$target)
saveLoc <- file.path(tempdir(), "model.json")
sklearnToJson(model, saveLoc)
# the model.json is saved in the tempdir
dir(tempdir())
# clean up
unlink(saveLoc)

## End(Not run)

[Package PatientLevelPrediction version 6.4.1 Index]