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
amendment_forecast-1.4.1.tar.gz
(11.2 kB
view hashes)
Built Distribution
Close
Hashes for amendment_forecast-1.4.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 92a2781c6989659b69a43e6455ce7b6ad72eaaee43b0a387f284627dd07fc58e |
|
MD5 | 51a3fa7a434dcd243e9e096ce6c0fa79 |
|
BLAKE2b-256 | 688512e59cadaca8065e5385c4a15a34a5b5d6fef9f7ee5d78d05eb817a2851d |