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-1.3.27.tar.gz
(11.2 kB
view hashes)
Built Distribution
Close
Hashes for amendment_forecast-1.3.27.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | ddbdf159157c7a3e65d85f89505c739e6006dcdfb5372ea90593caac3ac2022b |
|
MD5 | 7566d21082344b62f37caf7bef034516 |
|
BLAKE2b-256 | bfd8af94d1bd3910819c76f97d4ddab2b9f1592e54e66f6a661b600614fe3185 |
Close
Hashes for amendment_forecast-1.3.27-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a0c11fbcb2ca6cdcf52ea192a0019b0a69bfdce55c085a08a15986fe423e9a33 |
|
MD5 | 684349ec059ce033f2eb5682ed649a2b |
|
BLAKE2b-256 | bd34e4667d9420847ba5bf393ff458ca0fc7af7025908786af244125cd2935fa |