npmjs.org : machinejs

Automated machine learning structure. Ensembles random forests, XGBoost, neural networks, AdaBoost, KNN, SVM together, handling data formatting ensembling, and running predictions for you. Feel free to tweak the settings if you want a lot of control, or j

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purl: pkg:npm/machinejs
Keywords: neuralNet , neural network , machine learning , ml , algorithms , random forest , svm , naive bayes , bagging , optimization , data science , brainjs , date night , scikit-learn , sklearn , ensemble , data formatting , javascript , js , XGBoost , scikit-neuralnetwork , KNN , K nearest neighbors , GridSearch , GridSearchCV , grid search , python , RandomizedSearchCV , preprocessing , data-formatter , SVM , kaggle , kaggle competition , auto-ml , automated-machine-learning , automl , data-science , data-scientists , javascript-library , machine-learning , machine-learning-algorithms , machine-learning-library , numerai
License: MIT
Latest release: about 9 years ago
First release: over 9 years ago
Dependent packages: 2
Dependent repositories: 1
Downloads: 64 last month
Stars: 403 on GitHub
Forks: 62 on GitHub
See more repository details: repos.ecosyste.ms
Last synced: 19 days ago

• Readme
• Versions 8
• Dependent Packages 2
• Maintainers 1