Search Results for "templates"

...The tool supports interactive prompting (asking the user for variable values) or passing parameters non-interactively to generate customized templates. Because it's general, it can be used for anything that fits templating (microservices, builds, documentation, modules, etc.). giter8 is light, extensible, and well-adopted in Scala communities (e.g. many scaffolding tools or frameworks provide giter8 templates).

The fpinscala repository provides exercises, hints, and solutions for the book Functional Programming in Scala, serving as a companion resource for anyone studying the text. It is designed to guide learners through each chapter of the book by offering exercise stubs, partial implementations, and progressively developed code examples. As readers work through the book, they can complete exercises directly in the provided Scala files, building a library of functional programming constructs...

sbt-microsites is an SBT plugin that facilitates the creation of fancy microsites for your projects, with minimal tweaks. A microsite is an instance of Jekyll, ready to publish a static web page for your new library.

Apache PredictionIO is an open-source machine learning server designed to simplify the process of building and deploying predictive engines. It offers a scalable infrastructure with support for multiple ML algorithms, event data collection, and deployment workflows. Developers can use templates or build custom engines, making it a flexible solution for integrating machine learning into applications.

Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management.

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