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-1.0.12.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | e98753f2983b53ac16641409fc2b7d43c231c0edeb939f99d76ac72472815dbd |
|
MD5 | 32023c87cb5697acf1f5b0789d3cb711 |
|
BLAKE2b-256 | 0a5de28eb6521532b8e610f594812627fbf9b1173f160a70ea77455879b5c1d8 |
Close
Hashes for amendment_forecast-1.0.12-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 09f10dcac470a69509061da101771238ffc482efee10e2b0937be51efb4ca9ba |
|
MD5 | e319208e0a805b176828d2b82c83682d |
|
BLAKE2b-256 | e6224edd0e0a1c809d3d31947cccde97d27998a171aa9d6c8c03214ccf4c48fa |