swiftML
Swift library for Machine Learning
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- AdaBoostClassifierTutorial.ipynb
- Bernoulli Naive Bayes.ipynb
- DTreeTutorial.ipynb
- Gaussian Naive Bayes.ipynb
- Gradient Descent Linear Regression.ipynb
- GradientRegressorTutorial.ipynb
- KMeans Clustering.ipynb
- KNeighbor Classifier.ipynb
- KNeighbor Regressor.ipynb
- Least Squares Linear Regression.ipynb
- Logistic Regression.ipynb
- Multinomial Naive Bayes.ipynb
- Principal Component Analysis.ipynb
- RandomForestTutorial.ipynb
- README.md
- Singular Value Decomposition Linear Regression.ipynb
- SupportVectorMachineTutorial.ipynb
- XtremeGBoost.ipynb
- KMeans.swift
- PCA.swift
- AdaBoostClassifier.swift
- GradientBoostRegressor.swift
- RandomForest.swift
- GradientDescentLinearRegression.swift
- LeastSquaresLinearRegression.swift
- LinearRegression.swift
- LogisticRegression.swift
- SingularValueDecompositionLinearRegression.swift
- Metrics.swift
- BernoulliNB.swift
- GaussianNB.swift
- MultinomialNB.swift
- KNeighborsClassifier.swift
- KNeighborsRegressor.swift
- DecisionTree.swift
- Helpers.swift
- TensorExtensions.swift
- swiftMLTests.swift
- XCTestManifests.swift
- LinuxMain.swift
- .gitignore
- .travis.yml
- CONTRIBUTING.md
- LICENSE
- Package.swift
- README.md
- ROADMAP.md
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