Below are examples on how to utilize daal4py for various usage styles.

Data Science examples

Jupyter Notebooks

General usage

Principal Component Analysis (PCA) Transform

Singular Value Decomposition (SVD)

Moments of Low Order

Correlation and Variance-Covariance Matrices

Decision Forest Classification

Decision Tree Classification

Gradient Boosted Classification

k-Nearest Neighbors (kNN)

Multinomial Naive Bayes

Support Vector Machine (SVM)

Logistic Regression

Decision Forest Regression

Gradient Boosted Regression

Linear Regression

Ridge Regression

K-Means Clustering

Multivariate Outlier Detection

Univariate Outlier Detection

Optimization Solvers-Mean Squared Error Algorithm (MSE)

Logistic Loss

Stochastic Gradient Descent Algorithm

Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm

Adaptive Subgradient Method

Cosine Distance Matrix

Correlation Distance Matrix