Config Class

Represents the complete configuration for the pipeline.

Usage

Config(
  job_id = class_missing,
  task_id = class_missing,
  min_reference_date = class_missing,
  max_reference_date = class_missing,
  report_date = class_missing,
  production_date = class_missing,
  disease = class_missing,
  geo_value = class_missing,
  geo_type = class_missing,
  seed = class_missing,
  horizon = class_missing,
  model = class_missing,
  config_version = class_missing,
  quantile_width = class_missing,
  data = class_missing,
  priors = class_missing,
  parameters = class_missing,
  sampler_opts = class_missing,
  exclusions = class_missing,
  output_container = class_missing
)

Arguments

job_id

A string specifying the job.

task_id

A string specifying the task.

min_reference_date

A string representing the minimum reference date. Formatted as "YYYY-MM-DD".

max_reference_date

A string representing the maximum reference date. Formatted as "YYYY-MM-DD".

report_date

A string representing the report date. Formatted as "YYYY-MM-DD".

production_date

A string representing the production date. Formatted as "YYYY-MM-DD".

disease

A string specifying the disease being modeled. One of "COVID-19" or "Influenza" or "RSV".

geo_value

An uppercase, two-character string specifying the geographic value, usually a state or "US" for national data.

geo_type

A string specifying the geographic type, usually "state".

seed

An integer for setting the random seed.

horizon

An integer specifying the forecasting horizon.

model

A string specifying the model to be used.

config_version

A numeric value specifying the configuration version.

quantile_width

A vector of numeric values representing the desired quantiles. Passed to tidybayes::median_qi().

data

An instance of Data class containing data configurations.

priors

A list of lists. The first level should contain the key rt with elements mean and sd and the key gp with element alpha_sd.

parameters

An instance of Parameters class containing parameter configurations.

sampler_opts

A list. The Stan sampler options to be passed through EpiNow2. It has required keys: cores, chains, iter_warmup, iter_sampling, max_treedepth, and adapt_delta.

exclusions

An instance of Exclusions class containing exclusion criteria.

output_container

An optional string specifying the output blob storage container.

See also

Other config: Data(), Interval, Parameters(), read_json_into_config()