In tmastny/sagemaker: R Interface for the AWS Sagemaker API

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  eval = FALSE
)

Introduction

AWS Sagemaker is a powerful tool to efficently build and deploy machine learning models. However, I don't think the API is suitable for exploratory training and data analysis. Too many of the minor details are left to the user. My goal with this package is to create a simplified user interface, with sensible defaults, that gets you training and analyzing with Sagemaker faster than ever.

Side-by-side comparsion

library(dplyr)
library(stringr)

R sagemaker

wzxhzdk:2

AWS Sagemaker

wzxhzdk:3

R sagemaker

wzxhzdk:4

AWS Sagemaker

wzxhzdk:5

R sagemaker

wzxhzdk:6

AWS Sagemaker

wzxhzdk:7

R sagemaker

wzxhzdk:8

AWS Sagemaker

wzxhzdk:9

R sagemaker

wzxhzdk:10

AWS Sagemaker

wzxhzdk:11

tmastny/sagemaker documentation built on July 15, 2020, 4:17 p.m.