IBM Netezza in-Database Analytics Developers Guide-3.2.0.0

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Text of IBM Netezza in-Database Analytics Developers Guide-3.2.0.0

  • IBM Netezza AnalyticsRelease 3.2.0.0

    In-Database AnalyticsDeveloper's GuideRevised: November 20, 2014

    Part Number 00X6331-02 Rev. 4

  • Note: Before using this information and the product that it supports, read the information in APPENDIX A on page 333.

    Copyright IBM Corporation 2011, 2014.

    US Government Users Restricted Rights Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp.

  • Contents

    Preface Audience for This Guide...................................................................................................................xvPurpose of This Guide......................................................................................................................xvSymbols and Conventions................................................................................................................xvIf You Need Help.............................................................................................................................xviComments on the Documentation.................................................................................................xvi

    1 Introduction to IBM Netezza In-Database AnalyticsOverview ...............................................................................................................................................17List of Algorithms ..................................................................................................................................18Terminology and Notation.....................................................................................................................20Using This Guide ....................................................................................................................................20

    2 Algorithmic Tasks Overview................................................................................................................................................23Data Exploration ....................................................................................................................................24Data Transformation .............................................................................................................................24

    Discretization ..................................................................................................................................24Standardization and Normalization ................................................................................................24Data Imputation..............................................................................................................................25

    Model Diagnostics .................................................................................................................................25Model Quality Indicators.................................................................................................................25Model Evaluation Procedures.........................................................................................................25

    Predictive Modeling...............................................................................................................................26Algorithmic Classication ...............................................................................................................26Regression.......................................................................................................................................29Clustering ........................................................................................................................................30Association Rule Mining .................................................................................................................32

    3 Working with Data SetsSample Data Sets...................................................................................................................................35

    CensusIncome.................................................................................................................................35

    iii

  • WineQuality.....................................................................................................................................36Retail................................................................................................................................................36

    4 Using Netezza Analytic ProceduresCall Interface .........................................................................................................................................37Column Properties.................................................................................................................................40

    Using a Column Properties Table....................................................................................................42COLUMN_PROPERTIES Procedure...................................................................................................42COLUMN_PROPERTIES_CHECK Procedure .....................................................................................43SET_COLUMN_PROPERTIES Procedure ..........................................................................................43GET_COLUMN_LIST Procedure.......................................................................................................44Algorithms Supporting Column Properties.....................................................................................44

    Missing Value Support ...........................................................................................................................44Working With Models............................................................................................................................45

    5 Metadata ManagementIntroduction...........................................................................................................................................47

    Structure..........................................................................................................................................47Preparing the Database...................................................................................................................48

    Metadata Management Tools................................................................................................................48Model Property Objects..................................................................................................................48Model Management Objects..........................................................................................................48Model Security Objects...................................................................................................................49Metadata Administration Objects...................................................................................................49Usage Scenarios...............................................................................................................................49

    Model Naming Conventions..................................................................................................................49Model Name Length........................................................................................................................49Model Name Uniqueness................................................................................................................50System Case.....................................................................................................................................50

    Model Component Naming Conventions..............................................................................................50General Component Naming Conventions......................................................................................50Model Naming Conventions............................................................................................................51

    Model Property Objects.........................................................................................................................52V_NZA_MODELS View.....................................................................................................................52V_NZA_COMPONENTS View...........................................................................................................55V_NZA_PARAMS View.....................................................................................................................56V_NZA_COLPROPS View..................................................................................................................57NZA..LIST_MODELS Procedure........................................................................................................58NZA..LIST_COMPONENTS Procedure..............................................................................................58NZA..LIST_PARAMS Procedure........................................................................................................59NZA..LIST_COLPROPS Procedure.....................................................................................................59

    Model Management Objects.................................................................................................................59NZA..MODEL_EXISTS Procedure......................................................................................................59

    iv

  • NZA..DROP_MODEL Procedure.......................................................................................................60NZA..DROP_ALL_MODELS Procedure.............................................................................

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