Aerosolve vs PredictionIO
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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. | This library is meant to be used with sparse, interpretable features such as those that commonly occur in search (search keywords, filters) or pricing (number of rooms, location, price). It is not as interpretable with problems with very dense non-human interpretable features such as raw pixels or audio samples. |
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. | A thrift based feature representation that enables pairwise ranking loss and single context multiple item representation.;A feature transform language gives the user a lot of control over the features;Human friendly debuggable models;Separate lightweight Java inference code;Scala code for training;Simple image content analysis code suitable for ordering or ranking images |
Statistics | |
GitHub Stars - | GitHub Stars 4.8K |
GitHub Forks - | GitHub Forks 565 |
Stacks 67 | Stacks 27 |
Followers 110 | Followers 73 |
Votes 8 | Votes 0 |
Pros & Cons | |
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