Bring your parameters to Valohai (R)

• Defining parameters allows you to easily rerun, sort, and keep track of executions based on the parameter values used to run them.
• You can easily create (or copy) an execution and change the parameters in the UI, without changing your code.
• Defining parameters allows you to start creating Tasks where you run multiple parallel executions with different parameter combinations.
• Each step has its own parameter configuration in valohai.yaml.
• A parameter can be a type of a string, integer, float, and flag (=boolean).
• Parameters are passed as command-line arguments to your code.
  • Edit how parameters are passed to your code using pass-as.
  • You can also parse parameter values from YAML and JSON files inside your execution. See file-based configuration.

Define parameters in R

library(optparse)

option_list <- list(
    make_option("--iterations", default = 10),
)

parser <- OptionParser(option_list = option_list)
args <- parse_args(parser)

iterations <- args$iterations
write(iterations, stdout())

Create a valohai.yaml configuration file and add parameters to your step.

• Define the parameters
• Add a {parameters} placeholder after your command. Valohai will add all the parameters and values passed to your code as arguments.

- step:    
    name: train    
    image: r-base:3.4.2    
    command: Rscript myexample.R {parameters}
    parameters:
      - name: iterations
        type: integer
        default: 100