asafschers/goscore
Go Scoring API for PMML
This project helps developers integrate existing predictive models into Go applications. It takes a model defined in PMML (Predictive Model Markup Language) format and allows you to feed in data to get predictions or scores. This is useful for backend developers building services that need to use pre-trained machine learning models.
101 stars. No commits in the last 6 months.
Use this if you are a Go developer who needs to deploy machine learning models (like Neural Networks, Decision Trees, Random Forests, or Gradient Boosted Models) that have been saved in PMML format into a production Go environment.
Not ideal if you are looking to train machine learning models, as this tool is solely for integrating and scoring with pre-trained models.
Stars
101
Forks
23
Language
Go
License
MIT
Category
Last pushed
Aug 23, 2019
Commits (30d)
0
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