Examples

Note

Scikit-learn patching functionality in daal4py was deprecated and moved to a separate package, Intel(R) Extension for Scikit-learn*. All future patches will be available only in Intel(R) Extension for Scikit-learn*. Use the scikit-learn-intelex package instead of daal4py for the scikit-learn acceleration.

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

General usage

Building models from Gradient Boosting frameworks

• XGBoost* model conversion

• LightGBM* model conversion

• CatBoost* model conversion

Principal Component Analysis (PCA) Transform

• Single-Process PCA

• Multi-Process PCA

Singular Value Decomposition (SVD)

• Single-Process PCA Transform

• Single-Process SVD

• Streaming SVD

• Multi-Process SVD

Moments of Low Order

• Single-Process Low Order Moments

• Streaming Low Order Moments

• Multi-Process Low Order Moments

Correlation and Variance-Covariance Matrices

• Single-Process Covariance

• Streaming Covariance

• Multi-Process Covariance

Decision Forest Classification

• Single-Process Decision Forest Classification Default Dense method

• Single-Process Decision Forest Classification Histogram method

Decision Tree Classification

• Single-Process Decision Tree Classification

Gradient Boosted Classification

• Single-Process Gradient Boosted Classification

k-Nearest Neighbors (kNN)

• Single-Process kNN

Multinomial Naive Bayes

• Single-Process Naive Bayes

• Streaming Naive Bayes

• Multi-Process Naive Bayes

Support Vector Machine (SVM)

• Single-Process Binary SVM

• Single-Process Muticlass SVM

Logistic Regression

• Single-Process Binary Class Logistic Regression

• Single-Process Logistic Regression

Decision Forest Regression

• Single-Process Decision Forest Regression Default Dense method

• Single-Process Decision Forest Regression Histogram method

• Single-Process Decision Tree Regression

Gradient Boosted Regression

• Single-Process Boosted Regression

Linear Regression

• Single-Process Linear Regression

• Streaming Linear Regression

• Multi-Process Linear Regression

Ridge Regression

• Single-Process Ridge Regression

• Streaming Ridge Regression

• Multi-Process Ridge Regression

K-Means Clustering

• Single-Process K-Means

• Multi-Process K-Means

Multivariate Outlier Detection

• Single-Process Multivariate Outlier Detection

Univariate Outlier Detection

• Single-Process Univariate Outlier Detection

Optimization Solvers-Mean Squared Error Algorithm (MSE)

• MSE In Adagrad

• MSE In LBFGS

• MSE In SGD

Logistic Loss

• Logistic Loss SGD

Stochastic Gradient Descent Algorithm

• Stochastic Gradient Descent Algorithm Using Logistic Loss

• Stochastic Gradient Descent Algorithm Using MSE

Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm

• Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm - Using MSE

Adaptive Subgradient Method

• Adaptive Subgradient Method Using MSE

Cosine Distance Matrix

• Single-Process Cosine Distance

Correlation Distance Matrix

• Single-Process Correlation Distance

Trees

• Decision Forest Regression

• Decision Forest Classification

• Decision Tree Regression

• Decision Tree Classification

• Gradient Boosted Trees Regression

• Gradient Boosted Trees Classification