Documentation
API

Installation Guide

Prerequisites
Harp Installation (Single Node)
Harp Installation (Cluster)

Beginners Guide

Multiclass Logistic Regression

Users Guide

Applications

Latent Dirichlet Allocation (CGS)
Matrix Factorization
Subgraph Counting

Contributors Guide

Programming Guides

Overview
Data Interfaces and Types
Schedulers
Computation Models

Collective Communication

Broadcast
Reduce
Allgather
Allreduce
Regroup
Push & Pull
Rotate

Examples

Overview
K-Means
Multiclass Logistic Regression
Latent Dirichlet Allocation (CVB)
Support Vector Machine
Random Forests
Neural Network

Harp-DAAL Documentation

Overview

Harp-DAAL framework

Harp-DAAL APIs

Initialization Module
I/O Module
Communication Module
Batch Mode Code Walk Through
Distributed Mode Code Walk Through

Algorithms

Association Rule
Covariance
Boosting
Naive Bayes Classifier
K-Means Clustering
Expectation-Maximization
Principal Component Analysis
Singular Value Decomposition
QR Decomposition
Pivoted-QR Decomposition
Cholesky Decomposition
Low Order Moments
Outlier Detection
Sorting
Quantile
Quality Metrics
Optimization Solvers
Normalization
Support Vector Machine
K-Nearest Neighbors Classifier
Decision Tree
Decision Forest
Kernel Functions
Stump Weak Learner Classifier
Linear Regression
Ridge Regression
Implicit Alternating Least Squares
Neural Network

Algorithms Experimental

Recommender System based on SGD
Subgraph Counting

Hands-on

Tutorial

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