MLOps utils with MLFlow
Project description
mlflowops Util
MLOps utils with MLFlow
Setup
Quick Install
python -m pip install mlflowops
Build from source
Clone the repository
git clone https://github.com/Broomva/mlflowops.git
Install the package
cd mlflowops && make install
Build manually
After cloning, create a virtual environment
conda create -n mlflowops python=3.10
conda activate mlflowops
Install the requirements
pip install -r requirements.txt
Run the python installation
python setup.py install
Usage
The deployment requires a .env file created under local folder:
touch .env
It should have a schema like this:
databricks_experiment_name=''
databricks_experiment_id=''
databricks_host=''
databricks_token=''
databricks_username=''
databricks_password=''
databricks_cluster_id=''
import mlflowops
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
mlflowops-0.1.2.tar.gz
(4.6 kB
view hashes)
Built Distribution
Close
Hashes for mlflowops-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2f00c47c9e1c368d158f9af17d2390cb38a6a390c723ccf3d1a8b0769e847485 |
|
MD5 | 4e13f76526353d55c327c69a31ac34e7 |
|
BLAKE2b-256 | 9d49185386e528b35d8c27b080a0361b2d26210fff31eaf60da104d721b0a86b |