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:
1 maintainer
Metadata
1 maintainer
Release files for hyperopt-prophet 0.2.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| hyperopt_prophet-0.2.4.tar.gz | 12.7 kB | Without provenance | Details for hyperopt_prophet-0.2.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| hyperopt_prophet-0.2.4-py3-none-any.whl | Python 3 | none | any | Details for hyperopt_prophet-0.2.4-py3-none-any.whl |
Total release size: 27.9 kB
Release files / hyperopt_prophet-0.2.4.tar.gz
| Download URL | hyperopt_prophet-0.2.4.tar.gz |
|---|---|
| Size | 12.7 kB |
| Tags | Source |
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No |
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twine/4.0.2 CPython/3.9.17
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Release files / hyperopt_prophet-0.2.4-py3-none-any.whl
| Download URL | hyperopt_prophet-0.2.4-py3-none-any.whl |
|---|---|
| Size | 15.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
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Security for hyperopt-prophet 0.2.4
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