sklearnToJson: Saves sklearn python model object to json in path

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

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)

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.