setSagemakerBinary: Create setting for sagemaker model

In hxia/plp-git-demo: Package for patient level prediction using data in the OMOP Common Data Model

Description

Create setting for sagemaker model

Usage

setSagemakerBinary(
  classifier = "xgboost",
  bucket,
  prefix = "data",
  roleArn,
  otherparams = NULL,
  seed = NULL
)

Arguments

classifier	The name of the sagemaker binary classifier to use (pick from: knn, xgboost or linear-learner)
bucket	The s3 bucker string to save data for model training
prefix	The s3 subdirectory for the data
roleArn	The amazon roleArn
otherparams	Other parameters for training (currently not working)
seed	The seed for the training

Examples

## Not run: 
model.sm <- setSagemakerBinary(classifier='gxboost',  bucket='ohdsi3')

## End(Not run)                           

hxia/plp-git-demo documentation built on March 19, 2021, 1:54 a.m.