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.project-metadata.yaml
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name: Structural Time Series
description: California electricity demand forecasting with Prophet.
author: Cloudera Inc.
specification_version: 1.0
prototype_version: 2.0
date: "2022-04-06"
runtimes:
- editor: Workbench
kernel: Python 3.8
edition: Standard
version: 2021.12
environment_variables:
EIA_API_KEY:
default: ""
description: "Optional EIA open data API key"
prompt_user: false
tasks:
- type: create_job
name: Install Dependencies
entity_label: install_dependencies
script: cml/install_dependencies.py
arguments: None
cpu: 2
memory: 4
short_summary: Create job to install project dependencies.
environment:
TASK_TYPE: CREATE/RUN_JOB
- type: run_job
entity_label: install_dependencies
short_summary: Running install dependencies job.
long_summary: Running the job to install dependencies. Note that this requires at least 4GB of memory, and takes several minutes.
- type: create_job
name: Launch Parallel Model Fitting
entity_label: fit_models_parallel
script: cml/fit_models_parallel.py
arguments: None
short_summary: Create job to launch parallel training script execution.
long_summary: Creates job to launch independent training workloads for each forecast script in the /scripts directory.
cpu: 1
memory: 2
environment:
TASK_TYPE: CREATE/RUN_JOB
- type: run_job
entity_label: fit_models_parallel
short_summary: Running job to train forecasts in parallel.
long_summary: Running job to train forecasts in parallel via CDSW Workers API
- type: start_application
name: Diagnostic App
subdomain: diagnostics
script: apps/launch_diagnostics.py
short_summary: Starting forecast diagnostics application
environment_variables:
TASK_TYPE: START_APPLICATION
- type: start_application
name: Forecast App
subdomain: forecast
script: apps/launch_forecast.py
short_summary: Starting primary forecast application
environment_variables:
TASK_TYPE: START_APPLICATION