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
1 maintainer
Metadata
1 maintainer
Release files for mlflowops 0.1.2
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 |
|---|---|---|---|---|
| mlflowops-0.1.2.tar.gz | 4.6 kB | Without provenance | Details for mlflowops-0.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| mlflowops-0.1.2-py3-none-any.whl | Python 3 | none | any | Details for mlflowops-0.1.2-py3-none-any.whl |
Total release size: 10.2 kB
Release files / mlflowops-0.1.2.tar.gz
| Download URL | mlflowops-0.1.2.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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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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Release files / mlflowops-0.1.2-py3-none-any.whl
| Download URL | mlflowops-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.17
|
Security for mlflowops 0.1.2
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