Contains two functions that are intended to make
    tuning supervised learning methods easy. The eztune function uses a
    genetic algorithm or Hooke-Jeeves optimizer to find the best 
    set of tuning parameters. The user can choose the optimizer, the 
    learning method, and if optimization will be based on accuracy 
    obtained through validation error, cross validation, or resubstitution. 
    The function eztune.cv will compute a cross validated error rate. The purpose 
    of eztune_cv is to provide a cross validated accuracy or MSE when 
    resubstitution or validation data are used for optimization because 
    error measures from both approaches can be misleading.

Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/f1-live.html> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.

Allows users to create and deploy the workflow with multiple functions
    in Function-as-a-Service (FaaS) cloud computing platforms.
    The 'FaaSr' package makes it simpler for R developers to use FaaS platforms by providing the following functionality:
    1) Parsing and validating a JSON-based payload compliant to 'FaaSr' schema supporting multiple FaaS platforms
    2) Invoking user functions written in R in a Docker container (derived from rocker), using a list generated from
       the parser as argument
    3) Downloading/uploading of files from/to S3 buckets using simple primitives
    4) Logging to files in S3 buckets
    5) Triggering downstream actions supporting multiple FaaS platforms
    6) Generating FaaS-specific API calls to simplify the registering of a user's workflow with a FaaS platform
    Supported FaaS platforms:
    Apache OpenWhisk <https://openwhisk.apache.org/>
    GitHub Actions <https://github.com/features/actions>
    Amazon Web Services (AWS) Lambda <https://aws.amazon.com/lambda/>
    Supported cloud data storage for persistent storage:
    Amazon Web Services (AWS) Simple Storage Service (S3) <https://aws.amazon.com/s3/>.