DMTK vs PredictionIO
Overview
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Detailed Comparison
PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. | DMTK provides a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces. |
Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.;Customize the modularized open codebase to fulfill any unique prediction requirement.;Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.;Build powerful features in minutes, not months. Streamline the data engineering process. | DMTK Framework: a flexible framework that supports unified interface for data parallelization, hybrid data structure for big model storage, model scheduling for big model training, and automatic pipelining for high training efficiency.;
LightLDA, an extremely fast and scalable topic model algorithm, with a O(1) Gibbs sampler and an efficient distributed implementation.;
Distributed (Multisense) Word Embedding, a distributed version of (multi-sense) word embedding algorithm. |
Statistics | |
GitHub Stars - | GitHub Stars 2.7K |
GitHub Forks - | GitHub Forks 559 |
Stacks 67 | Stacks 4 |
Followers 110 | Followers 18 |
Votes 8 | Votes 0 |
Pros & Cons | |
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