A forecaster for sales data
Project description
forecast_ensemble
forecast_ensemble combines multiple models into a single forecast and returns a combined package of models, their evaluated results including a composite score
Usage
The forecast is run using main.py
with the following options
Request Requirements
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 to
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for amendment_forecast-0.1.5-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 11031ef353ea3f906248bc8ecdda54f1d1ec5fc060502cd72dca577b7729915c |
|
MD5 | 2dc48a181b1e87e1457a77973b3a7bd4 |
|
BLAKE2b-256 | b611e9476c76dbfb7c18b690a32c68a91805713a165376f6ffac62968c0cf226 |