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Vitis Data Analytics Library
2022.1

Library Overview

  • Vitis Data Analytics Library
  • Release Note
  • Requirements
  • Design Flows
  • Vitis Data Analytics Library Tutorial

L1 User Guide

  • L1 Module User Guide

L2 User Guide

  • L2 Kernel User Guide
    • Kernel Templates in xf::data_analytics::clustering
    • Kernel Templates xf::data_analytics::regression
    • Kernel Templates in xf::data_analytics::text
    • Kernel Templates in xf::data_analytics::dataframe
    • Kernel Templates in xf::data_analytics::geospatial
    • Design Internals

L3 User Guide

  • L3 Overlay User Guide

Benchmark Result

  • Benchmark

Versions

Vitis Data Analytics Library
  • »
  • L2 Kernel User Guide

L2 Kernel User Guide¶

  • Kernel Templates in xf::data_analytics::clustering
    • kMeansTrain
  • Kernel Templates xf::data_analytics::regression
    • linearLeastSquareRegressionSGDTrain
    • ridgeRegressionSGDTrain
    • LASSORegressionSGDTrain
  • Kernel Templates in xf::data_analytics::text
    • reEngine
  • Kernel Templates in xf::data_analytics::dataframe
    • csv_scanner
  • Kernel Templates in xf::data_analytics::geospatial
    • knn
    • strtreeTop
  • Design Internals
    • Decision Tree (training)
    • Internals of kMeansTaim
    • Random Forest (training)
    • Stochastic Gradient Descent Framework
    • Internals of svm_train
    • Regular Expression Engine (reEngine)
    • GeoIP Engine
    • Two Gram Predicate
    • STRTree Engine
    • GeoSpatial K-nearest Neighbors
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