This folder contains examples of python notebooks that use Intel(R) extension for Scikit-learn for popular datasets.
You can use python notebooks with the help of Jupyter* notebook to run the following files:
pip install scikit-learn-intelex| Algorithm | Workload | Notebook | Scikit-learn estimator |
|---|---|---|---|
| LogisticRegression | CIFAR-100 | View source on GitHub | sklearn.linear_model.LogisticRegression |
| SVC | Adult | View source on GitHub | sklearn.svm.SVC |
| KNeighborsClassifier | MNIST | View source on GitHub | sklearn.neighbors.KNeighborsClassifier |
| NuSVR | Medical charges | View source on GitHub | sklearn.svm.NuSVR |
| RandomForestRegressor | Yolanda | View source on GitHub | sklearn.ensemble.RandomForestRegressor |