forecast_ensemble combines multiple models into a single forecast and returns a combined package of models, their evaluated results including a composite score
The forecast is run using main.py with the following options
The required input format is a JSON with the following fields:
Required:
data_filepath: filepath of the time series data to run the ensemble ontarget_column: name of the input columnaggregate_operation: string operation to apply to target_column to create the time seriesoutput_directory: directory to return the result JSON toFAQs
A forecaster for sales data
We found that amendment-forecast demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
PyPI confirms no security flaws were exploited in the Ultralytics supply chain attack and highlights improvements for safer package publishing.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.