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Aerosolve vs PredictionIO: What are the differences?
What is Aerosolve? A machine learning package built for humans (created by Airbnb). 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.
What is PredictionIO? Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.
Aerosolve and PredictionIO can be categorized as "Machine Learning" tools.
Some of the features offered by Aerosolve are:
- 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
On the other hand, PredictionIO provides the following key features:
- 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.
Aerosolve and PredictionIO are both open source tools. PredictionIO with 11.8K GitHub stars and 1.92K forks on GitHub appears to be more popular than Aerosolve with 4.57K GitHub stars and 575 GitHub forks.
Pros of Aerosolve
Pros of PredictionIO
- Predict Future8