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-0.1.8-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 01de6ae88711ca8388f7d69e31c3183dd8d7bec643dd6500ee5c94b1d8024895 |
|
MD5 | ca19b6ca46d33a28a385cb853b2eccb7 |
|
BLAKE2b-256 | c67e9f55df948bb26888c21a35f34c693d012467afeacbda69f73d4dc0e46bd1 |