.rst .pdf

open issue suggest edit

Samples

The following samples are also provided as Jupyter notebooks in Intel® Extension for Scikit-learn* repository. If you want to run them locally, refer to these instructions.

Classification Tasks

• k-Nearest Neighbors (kNN) for MNIST dataset
• Logistic Regression for Cifar dataset
• Support Vector Classification (SVC) for Adult dataset

Regression Tasks

• ElasticNet for Airlines DepDelay dataset
• Lasso Regression for YearPredictionMSD dataset
• Linear Regression for YearPredictionMSD dataset
• Nu-Support Vector Regression (NuSVR) for Medical Charges dataset
• Random Forest for Yolanda dataset
• Rigde Regression for Airlines DepDelay dataset

Clustering Tasks

• Kmeans for spoken arabic digit dataset
• DBSCAN for spoken arabic digit dataset

See also

There are also Kaggle kernels that use Intel® Extension for Scikit-learn* for a variety of machine learning scenarios.

previous

Quick Start

next

Intel® Extension for Scikit-learn KNN for MNIST dataset