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Integration of prophet forecasting with hyperopt, sparktrials, mlflow and pyspark

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broomva/hyperopt_prophet

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Hyperopt Prophet

Integration of prophet forecasting with hyperopt, mlflow This implementation is based on the Databricks AutoML repository.

Setup

Quick Install

python -m pip install hyperopt_prophet

Build from source

Clone the repository

git clone https://github.com/Broomva/hyperopt_prophet.git

Install the package

cd hyperopt_prophet && make install

Build manually

After cloning, create a virtual environment

conda create -n hyperopt_prophet python=3.9
conda activate hyperopt_prophet

Install the requirements

pip install -r requirements.txt

Run the python installation

python setup.py install

Usage

import hyperopt_prophet 

Attribution

Hyperopt Prophet builds upon the hard work of others. Here are the original leveraged repositories:

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Integration of prophet forecasting with hyperopt, sparktrials, mlflow and pyspark

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