mlflow-torchserve
Plugin for deploying MLflow models to TorchServe
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Download Latest Version (.zip)- bug_report.md
- documentation-fix.md
- feature_request.md
- build-wheel.yml
- ci.yml
- pull_request_template.md
- remote-deployment.rst
- class_mapping.json
- conda.yaml
- input.json
- MLproject
- news_classifier.py
- news_classifier_handler.py
- README.md
- requirements.txt
- kitten.png
- Cifar10_Captum.ipynb
- cifar10_datamodule.py
- cifar10_handler.py
- cifar10_train.py
- conda.yaml
- create_deployment.py
- index_to_name.json
- inference.py
- MLproject
- README.md
- AGNews_Captum_Insights.png
- class_mapping.json
- conda.yaml
- E2E_Bert_AGNews_Classification_Captum_Insights_Viz.ipynb
- input.json
- MLproject
- news_classifier.py
- news_classifier_handler.py
- README.md
- requirements.txt
- wrapper.py
- conda.yaml
- create_deployment.py
- index_to_name.json
- iris_classification.py
- iris_data_module.py
- iris_handler.py
- MLproject
- predict.py
- README.md
- sample.json
- sig_invalid_column_name.json
- sig_invalid_data_type.json
- conda.yaml
- index_to_name.json
- iris_classification.py
- iris_datamodule.py
- iris_handler.py
- MLproject
- README.md
- sample.json
- one.png
- conda.yaml
- create_deployment.py
- index_to_name.json
- MLproject
- mnist_handler.py
- mnist_model.py
- predict.py
- README.md
- register.py
- create_deployment.py
- index_to_name.json
- predict.py
- README.md
- sample_text.txt
- input.json
- titanic_not_survived.csv
- titanic_survived.csv
- conda.yaml
- index_to_name.json
- MLproject
- README.md
- titanic.py
- titanic_captum_interpret.py
- titanic_handler.py
- README.md
- __init__.py
- config.py
- test_end_to_end_example.py
- test_torchserve_examples.py
- plugin_fixtures.py
- __init__.py
- linear_handler.py
- linear_model.py
- sample.json
- __init__.py
- conftest.py
- test_cli.py
- test_plugin.py
- remove-conda-envs.sh
- .flake8
- .gitignore
- config.properties
- LICENSE.txt
- README.md
- setup.py
# Installation Guide
1. Get the code
git clone https://github.com/mlflow/mlflow-torchserve
Downloads the entire project code from GitHub to your computer.
cd mlflow-torchserve
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install mlflow-torchserve
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Python
EasyPrerequisites
pip install mlflow-torchserve
Installs the package published on PyPI directly β no need to clone the source.
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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