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-0.1.13.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | fe54b8d8a2c2ab9a0fee7271a01f9544dbc29828d8291aa530da55f6e60f178e |
|
MD5 | 74faf8cc6b6edc09e142b42e540ef2f9 |
|
BLAKE2b-256 | 2e62eee09c5a4cbbac1b4712d5041562d425a25420356e923364aa48848f5f37 |
Close
Hashes for amendment_forecast-0.1.13-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f1af316e2ccd4a804d8adb59c68b6164715528bbef863659da0717b67bd3aefe |
|
MD5 | f27be96653dd61350d00b7d26ef96714 |
|
BLAKE2b-256 | 95df3f261fe184252f063c76afb7454002f5639b3c4d5e2669d002052a3b3eab |