sklearnFromJson: Loads sklearn python model from json

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

Loads sklearn python model from json

Description

Loads sklearn python model from json

Usage

sklearnFromJson(path)

Arguments

path	path to the model json file

Value

a sklearn python model object

Examples

## Not run:  
plpData <- getEunomiaPlpData()
modelSettings <- setDecisionTree(maxDepth = list(3), minSamplesSplit = list(2),
                                  minSamplesLeaf = list(1), maxFeatures = list(100))
saveLocation <- file.path(tempdir(), "sklearnFromJson")
results <- runPlp(plpData, modelSettings = modelSettings, saveDirectory = saveLocation)
# view save model
dir(results$model$model, full.names = TRUE)
# load into a sklearn object
model <- sklearnFromJson(file.path(results$model$model, "model.json"))
# max depth is 3 as we set in beginning
model$max_depth
# clean up
unlink(saveLocation, recursive = TRUE)

## End(Not run)

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