docs/README.md - incubator-liminal - Git at Google

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 # Apache Liminal

 Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build,
 train and deploy machine learning models in a robust and agile way.

 The platform provides the abstractions and declarative capabilities for
 data extraction & feature engineering followed by model training and serving.
 Liminal's goal is to operationalize the machine learning process, allowing data scientists to
 quickly transition from a successful experiment to an automated pipeline of model training,
 validation, deployment and inference in production, freeing them from engineering and
 non-functional tasks, and allowing them to focus on machine learning code and artifacts.

 ## Basics

 Using simple YAML configuration, create your own schedule data pipelines (a sequence of tasks to
 perform), application servers,  and more.

 ## Getting Started
 A simple hello world guide for Liminal can be found [here](getting-started/hello_world.md) \
 A more advanced example which demonstrates a simple data-science workflow can be found [here](getting-started/iris_classification.md

 ## Apache Liminal Documentation
 Full documentation of Apache Liminal can be found [here](liminal)

 ## High Level Architecture
 High level architecture documentation can be found [here](architecture.md)
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	# Apache Liminal

	Apache Liminal is an end-to-end platform for data engineers & scientists, allowing them to build,
	train and deploy machine learning models in a robust and agile way.

	The platform provides the abstractions and declarative capabilities for
	data extraction & feature engineering followed by model training and serving.
	Liminal's goal is to operationalize the machine learning process, allowing data scientists to
	quickly transition from a successful experiment to an automated pipeline of model training,
	validation, deployment and inference in production, freeing them from engineering and
	non-functional tasks, and allowing them to focus on machine learning code and artifacts.

	## Basics

	Using simple YAML configuration, create your own schedule data pipelines (a sequence of tasks to
	perform), application servers, and more.

	## Getting Started
	A simple hello world guide for Liminal can be found [here](getting-started/hello_world.md) \
	A more advanced example which demonstrates a simple data-science workflow can be found [here](getting-started/iris_classification.md

	## Apache Liminal Documentation
	Full documentation of Apache Liminal can be found [here](liminal)

	## High Level Architecture
	High level architecture documentation can be found [here](architecture.md)