PredictionIO vs Xcessiv
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. | A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. |
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. | Fully define your data source, cross-validation process, relevant metrics, and base learners with Python code;Any model following the Scikit-learn API can be used as a base learner;Task queue based architecture lets you take full advantage of multiple cores and embarrassingly parallel hyperparameter searches;Direct integration with TPOT for automated pipeline construction;Automated hyperparameter search through Bayesian optimization;Easy management and comparison of hundreds of different model-hyperparameter combinations;Automatic saving of generated secondary meta-features;Stacked ensemble creation in a few clicks;Automated ensemble construction through greedy forward model selection;Export your stacked ensemble as a standalone Python file to support multiple levels of stacking |
Statistics | |
GitHub Stars - | GitHub Stars 1.3K |
GitHub Forks - | GitHub Forks 105 |
Stacks 67 | Stacks 0 |
Followers 110 | Followers 7 |
Votes 8 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to PredictionIO, Xcessiv?
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