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Integration of prophet forecasting with hyperopt, mlflow

Project description

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:

Project details


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hyperopt_prophet-0.2.0.tar.gz (12.6 kB view hashes)

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hyperopt_prophet-0.2.0-py3-none-any.whl (15.1 kB view hashes)

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