The caret Package1 Introduction The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for: data splitting pre-processing feature selection model tuning using resampling variable importance estimation as well as other functionality. There are many different modeling functions in R.
GitHub - aws/chalice: Python Serverless Microframework for AWS
{{#tags}}- {{label}}
{{/tags}}