Metadata-Version: 2.1
Name: modela
Version: 0.55
Summary: Modela Automatic Machine Learning SDK
Home-page: https://github.com/metaprov/modela-python-sdk
Author: Metaprov
Author-email: support@metaprov.com
License: Apache Software License 2.0
Keywords: modela
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: Click (>=7.0)
Requires-Dist: grpc-interceptor
Requires-Dist: grpcio
Requires-Dist: jwt
Requires-Dist: modelaapi
Requires-Dist: pandas
Requires-Dist: protobuf
Requires-Dist: protoc-gen-swagger
Requires-Dist: tabulate
Requires-Dist: tqdm
Requires-Dist: typing-utils

## What is Modela?

Modela is a Kubernetes-based automatic machine learning platform that enables you with an expansive API for machine
learning. The system implements Kubernetes custom resources for declaratively managing data, training, inference, and 
infrastructure objects. The Modela control plane manages these resources to provide fully distributed and automated machine learning. 


For a complete documentation of the API, check out the [documentation](https://www.modela.ai/docs/docs).

## Install Modela

Modela can be installed through the Modela CLI, or through Helm Charts. For a complete installation procedure, please 
refer to the installation procedure on the [documentation](https://www.modela.ai/docs/docs/install).

## Using the SDK

The Modela API is implemented by [Modela](https://modela.ai), which can be installed on 
any Kubernetes cluster for free. You can access the API by connecting to the API gateway service hosted by your installation.





