Reference

Finn Agent Allows you to create and run the Finn agent for time series forecasting.
set_project_info()	Set up new finnts forecast project
set_agent_info()	Set up Finn Agent Run Information
chat_copilot()	Use GitHub Copilot CLI as a Finn LLM
iterate_forecast()	Run the Finn Agent Forecast Iteration Process
update_forecast()	Update Forecast with Latest Data and Inputs
ask_agent()	Ask Questions About Finn Agent Forecast Results
get_agent_forecast()	Get the final best forecast for an agent
get_best_agent_run()	Get the best run for an agent
get_eda_data()	Get EDA Data
get_summarized_models()	Get the trained model summaries info for an agent
Standard Finn Runs Run the standard Finn process without the agent, allowing for more manual control.
set_run_info()	Set up finnts submission
get_run_info()	Get run info
forecast_time_series()	Finn Forecast Framework
get_forecast_data()	Get Final Forecast Data
get_trained_models()	Get Final Trained Models
get_prepped_data()	Get Prepped Data
get_prepped_models()	Get Prepped Model Info
detect_hierarchy()	Detect a standard or grouped forecasting hierarchy
prep_data()	Prep Data
prep_models()	Prep Models
train_models()	Train Individual Models
ensemble_models()	Ensemble Models
final_models()	Final Models
list_models()	List all available models
Custom Models Teach Finn your own forecasting rules, validated against worked examples, and run them in standard or Agent forecasts.
create_custom_model()	Create a Validated Custom Model
custom_model_examples_template()	Template for Custom Model Validation Examples
custom_model_control()	Advanced Controls for Custom Model Creation
custom_model_feedback()	Read Custom Model Creation Feedback
print(<finnts_custom_model>)	Print a Custom Model
Input Data Checks Check prepared input data against Finn’s preparation rules before starting an Agent or standard run.
validate_prepared_input()	Validate Prepared Input Data