Get the trained model summaries info for an agent

This function retrieves the final summarized model info after agent completes its run.

get_summarized_models(agent_info)

Arguments

agent_info

Agent info from set_agent_info()

Value

A tibble containing the summarized models for the agent.

Examples

if (FALSE) { # \dontrun{
# load example data
hist_data <- timetk::m4_monthly %>%
  dplyr::filter(date >= "2013-01-01") %>%
  dplyr::rename(Date = date) %>%
  dplyr::mutate(id = as.character(id))

# set up Finn project
project <- set_project_info(
  project_name = "Demo_Project",
  combo_variables = c("id"),
  target_variable = "value",
  date_type = "month"
)

# set up LLM
driver_llm <- ellmer::chat_azure_openai(model = "gpt-4o-mini")

# set up agent info
agent_info <- set_agent_info(
  project_info = project,
  driver_llm = driver_llm,
  input_data = hist_data,
  forecast_horizon = 6
)

# run the forecast iteration process
iterate_forecast(
  agent_info = agent_info,
  max_iter = 3,
  weighted_mape_goal = 0.03
)

# get the final model summaries for an agent
model_summary <- get_summarized_models(agent_info = agent_info)
} # }