Apache SystemML
Apache SystemML is a machine learning system with support for Java 8+, Scala 2.11+, Python 2.7/3.5+, Hadoop 2.6+, and Spark 2.1+
Features
Apache SystemML is a machine learning system with support for Java 8+, Scala 2.11+, Python 2.7/3.5+, Hadoop 2.6+, and Spark 2.1+. It provides a workplace for machine learning using big data. As It runs on top of Apache Spark, it automatically scales data, line by line, determining whether the code should be run on the driver or an Apache Spark cluster. Future releases may include additional deep learning with GPU capabilities such as importing and running neural network architectures and pre-trained models for training.
Apache SystemML is customizable with R-like and Python-like languages. It also supports multiple execution modes, including Spark MLContext API, Spark Batch, Hadoop Batch, Standalone, and JMLC and automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability.
System Requirements
Developer
Apache Software Foundation
Written in
Java, R, Python, Scala
Initial Release
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Repository
License
Apache v2
Categories
Alternatives
Machine Learning
OpenCV
Apache Mahout
Apache MXNet (Incubating)
Apache Spark
Eclipse Deeplearning4j
MALLET
Massive Online Analysis (MOA)
mlpack
Orange
PyTorch
scikit-learn
TensorFlow
The Microsoft Cognitive Toolkit
Torch
Weka
Yooreeka
Deep Learning
OpenNN
Apache MXNet (Incubating)
Caffe
Eclipse Deeplearning4j
PyTorch
TensorFlow
The Microsoft Cognitive Toolkit
Torch
Weka
Notes
- Apache Spark is a prerequisite for installing Apache SystemML. Hence, platforms for which Apache Spark is available are considered for Apache SystemML.
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