PredictionIO alternatives and similar packages
Based on the "Science and Data Analysis" category.
Alternatively, view PredictionIO alternatives based on common mentions on social networks and blogs.
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MLLib
Apache Spark - A unified analytics engine for large-scale data processing -
Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more. -
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Spark Notebook
Interactive and Reactive Data Science using Scala and Spark. -
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Tensorflow_scala
TensorFlow API for the Scala Programming Language -
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Squants
The Scala API for Quantities, Units of Measure and Dimensional Analysis -
FACTORIE
FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. -
ND4S
ND4S: N-Dimensional Arrays for Scala. Scientific Computing a la Numpy. Based on ND4J. -
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OpenMOLE
Workflow engine for exploration of simulation models using high throughput computing -
Optimus * 96
Optimus is a mathematical programming library for Scala. -
Clustering4Ever
C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering. -
rscala
The Scala interpreter is embedded in R and callbacks to R from the embedded interpreter are supported. Conversely, the R interpreter is embedded in Scala. -
MGO
Purely functional genetic algorithms for multi-objective optimisation -
Axle
Axle Domain Specific Language for Scientific Cloud Computing and Visualization -
Synapses
A group of neural-network libraries for functional and mainstream languages
Truly a developer’s best friend
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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Popular Comparisons
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PredictionIOvsMLLib
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README
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http://www.apache.org/licenses/LICENSE-2.0
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Apache PredictionIO
Apache PredictionIO is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.
To get started, check out http://predictionio.apache.org!
Table of contents
Installation
A few installation options available.
Quick Start
- Recommendation Engine Template Quick Start Guide
- Similiar Product Engine Template Quick Start Guide
- Classification Engine Template Quick Start Guide
Bugs and Feature Requests
Use Apache JIRA to report bugs or request new features.
Documentation
Documentation, included in this repo in the docs/manual directory, is built
with Middleman and publicly hosted at
predictionio.apache.org.
Interested in helping with our documentation? Read Contributing Documentation.
Community
Keep track of development and community news.
- Subscribe to the user mailing list [email protected] and the dev mailing list [email protected]
- Follow @predictionio on Twitter.
Contributing
Read the Contribute Code page.
You can also list your projects on the Community Project page.
License
Apache PredictionIO is under Apache 2 license.
*Note that all licence references and agreements mentioned in the PredictionIO README section above
are relevant to that project's source code only.