catboost-model
v0.25.1-alpha.5
Published
Node bindings for CatBoost library to apply models. CatBoost is a machine learning method based on gradient boosting over decision trees.
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CatBoost Model Node package
A Node.js package for applying pretrained CatBoost model.
NOTE: The package is still under heavy development and can introduce breaking changes.
Usage example
Install the package. You have two options:
- Install from npm registry:
npm i catboost-model
- Build package from source. Navigate to this directory inside the repo and run:
npm install
Now you can link this package in your project via:
npm install $PATH_TO_CATBOOST_REPO/catboost/node-package
Apply the pretrained model:
catboost = require('catboost-model');
model = new catboost.Model();
model.loadModel('test_data/adult.cbm');
prediction = model.predict([
[40., 85019., 16., 0., 0., 45.],
[28., 85019., 13., 0., 0., 13.],
],
[
["Private", "Doctorate", "Married-civ-spouce", "Prof-specialty", "Husband", "Asian-Pac-Islander", "Male", "nan"],
["Self-emp-not-inc", "Bachelors", "Married-civ-spouce", "Exec-managerial", "Husband", "White", "Male", "United-States"],
]
);
console.log(prediction);
Development roadmap
- [x] Implement basic API calls.
- [ ] Extend exposed API, improve test coverage.
- [X] Migrate away from shell scripts.
- [X] Support Windows and MacOS platforms.
- [X] Switch to downloading and verifying the pre-built binary instead of building it from scratch.
- [X] Publish the alpha version of the package.
- [ ] Publish the generally available version of the package.