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SAS® Visual Data Mining and Machine Learning: Programming Guide

|PDF

Introduction
Shared Concepts
Analytic Store Scoring Action Set
Association Rule Mining Action Set
Audio Action Set
Autotune Action Set
Bayesian Net Classifier Action Set
BioMedImage Action Set
Boolean Rule Action Set
Data Science Pilot Action Set
Explain Model Action Set
Factorization Machine Action Set
Fast k-Nearest Neighbor Action Set
Generalized Linear Multitask Learning Action Set
Graph-Based Semisupervised Learning Action Set
Graphical Variable Clustering Action Set
Image Action Set
Kernel Principal Component Analysis Action Set
Language Model Action Set
Machine Learning for Sparse Data Action Set
Machine Learning Tools Action Set
Network Action Set
Neural Network Action Set
Nonparametric Bayes Action Set
Risk Modeling and Decisioning Action Set
Robust PCA Action Set
Support Vector Data Description Action Set
Support Vector Machine Action Set
Text Mining Action Set
t-Distributed Stochastic Neighbor Embedding Action Set
Common Parameters

Image Action Set

Examples

Subsections:

The annotateImages action
The augmentImages action
The compareImages action
The condenseImages action
The extractDetectedObjects action
The fetchImage action
The flattenImageTable action
The loadImages action
The matchImages action
The processImages action
The saveImages action
The summarizeImages action

Copyright © SAS Institute Inc. All rights reserved.

Last updated: November 04, 2020

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Copyright © SAS Institute Inc. All Rights Reserved