What is Aerosolve?
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.
Aerosolve is a tool in the Machine Learning Tools category of a tech stack.
Aerosolve is an open source tool with 4.6K GitHub stars and 578 GitHub forks. Here’s a link to Aerosolve's open source repository on GitHub
Who uses Aerosolve?
12 developers on StackShare have stated that they use Aerosolve.
Why developers like Aerosolve?
Here’s a list of reasons why companies and developers use Aerosolve
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- 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
Aerosolve Alternatives & Comparisons
What are some alternatives to Aerosolve?
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