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SAP’s Predictive Analysis Library (PAL)Function Cheat Sheets

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Agenda

What Will Be Covered:

1. Predictive Analysis Library (PAL) Overview

2. PAL Function Cheat Sheets

1. Clustering/Classification/Regression

2. Association/Time Series/Preprocessing

3. Statistics/Social Network Analysis/Miscellaneous

3. About us


Predictive Analysis Library (PAL ) Overview

Just the term “SAP Predictive Analysis” can make the best analyst tremble in fear, as it’s a complicated topic to comprehend.

The “why” versus the “what” are the easier topics to grasp. The “how” is where people commonly hit unpassable roadblocks.

It can get overwhelming; SAP Predictive Analysis metrics & calculations are confusing, disjointed & constantly changing.

To help, SAP has grouped functions for particular topics together into the Application Function Library (AFL).


For further information please refer to: http://help.sap.com/saphelp_hanaplatform/helpdata/en/65/2c5ada587d4a018aa4a4cde6ae1fc4/frameset.htm


http://help.sap.com/saphelp_hanaplatform/helpdata/en/65/2c5ada587d4a018aa4a4cde6ae1fc4/frameset.htm


SAP’s Predictive functions were grouped together in the AFL’s Predictive Analysis Library (PAL).

Add-on set of application functions that implement analysis algorithms. Makes executing clustering calculations w/ SAP HANA data easy & straightforward. Leverages HANA’s in-memory & near-linear parallelism performance for scoring, training, &

categorization; without data leaving the server. PAL can be accessed by SAP HANA SQL Script, which is an extension to SQL.

Adds control-flow capabilities & the ability to define complex application logic. Embeds predictive analytics into business applications. Contains universal predictive algorithms that execute directly against SAP HANA data. Enables up to 80% of the most use case common predictive scenarios.


For further information please refer to: http://help.sap.com/hana/SAP_HANA_Predictive_Analysis_Library_PAL_en.pdf


http://help.sap.com/hana/SAP_HANA_Predictive_Analysis_Library_PAL_en.pdf


PAL function algorithms are required for SAP HANA applications, based on market survey responses, & are usually available in other database products.

PAL includes classic and universal predictive analysis algorithms in nine data-mining function categories:

Clustering/Classification/Regression Association/Time Series/Preprocessing Statistics/Social Network Analysis/Miscellaneous


Let’s now take a look at the PAL function algorithms in the following slides. A full detailed list can be found via the link below:







PAL Functions: Clustering


Category PAL Algorithm Built-in Function Name

Clustering Affinity Propagation AP

Agglomerate Hierarchical Clustering HCAGGLOMERATE

Anomaly Detection ANOMALYDETECTION

Cluster Assignment CLUSTERASSIGNMENT

DBSCAN DBSCAN

Gaussian Mixture Model (GMM) GMM

K-Means KMEANS / VALIDATEKMEANS

K-Medians KMEDIANS

K-Medoids KMEDOIDS

LDA Estimation and Inference LDAESTIMATE / LDAINFERENCE

Self-Organizing Maps SELFORGMAP

Slight Silhouette SLIGHTSILHOUETTE

PAL Clustering Functions can be seen below:



http://help.sap.com/hana/SAP_HANA_Predictive_Analysis_Library_PAL_en.pdf#page=20&zoom=auto,-107,670
































PAL Functions: Classification


Category PAL Algorithm Built-in Function NameClassification Area Under Curve (AUC) AUC

Back Propagation Neural Network CREATEBPNN / PREDICTWITHBPNN

C4.5 Decision Tree CREATEDTWITHC45

CART Decision Tree CART

CHAID Decision Tree CREATEDTWITHCHAID

Confusion Matrix CONFUSIONMATRIX

KNN KNN

Logistic Regression (w/ Elastic Net Regularization) LOGISTICREGRESSION / FORECASTWITHLOGISTICR

Multi-Class Logistic Regression LRMCTR / LRMCTE

Naive Bayes NBCTRAIN / NBCPREDICT

Parameter Selection & Model Evaluation (PSME) PSME

Predict w/ Tree Model PREDICTWITHDT

Random Forest RANDOMFORESTTRAIN / RANDOMFORESTSCORING

Support Vector Machine SVMTRAIN / SVMPREDICT

PAL Classification Functions can be seen below:












































PAL Functions: Regression


Category PAL Algorithm Built-in Function NameRegression Bi-Variate Geometric Regression GEOREGRESSION / FORECASTWITHGEOR

Bi-Variate Natural Logarithmic Regression LNREGRESSION / FORECASTWITHLNR

Exponential Regression EXPREGRESSION / FORECASTWITHEXPR

Multiple Linear Regression LRREGRESSION / FORECASTWITHLR

Polynomial Regression POLYNOMIALREGRESSION / FORECASTWITHPOLYNOMIALR

PAL Regression Functions can be seen below:























PAL Functions: Association


Category PAL Algorithm Built-in Function NameAssociation Apriori APRIORIRULE / LITEAPRIORIRULE / APRIORIRULE2

FP-Growth FPGROWTH

K-Optimal Rule Discovery (KORD) KORD

PAL Association Functions can be seen below:













PAL Functions: Time Series


Category PAL Algorithm Built-in Function NameTime Series ARIMA ARIMATRAIN / ARIMAFORECAST / ARIMAXFORECAST

Auto ARIMA AUTOARIMA

Brown Exponential Smoothing BROWNEXPSMOOTH

Croston’s Method CROSTON

Forecast Accuracy Measures ACCURACYMEASURES

Forecast Smoothing FORECASTSMOOTHING

Linear Regression w/ Damped Trend & Seasonal Adjust LRWITHSEASONALADJUST

Single Exponential Smoothing SINGLESMOOTH

Double Exponential Smoothing DOUBLESMOOTH

Triple Exponential Smoothing TRIPLESMOOTH

Seasonality Test SEASONALITYTEST

Trend Test TRENDTEST

White Noise Test WHITENOISETEST

PAL Time Series Functions can be seen below:





































PAL Functions: Preprocessing


Category PAL Algorithm Built-in Function NamePreprocessing Binning BINNING

Binning Assignment BINNINGASSIGNMENT

Convert Category Type to Binary Vector CONV2BINARYVECTOR

Inter-Quartile Range Test IQRTEST

Partition PARTITION

Posterior Scaling POSTERIORSCALING

Principal Component Analysis (PCA) PCA / PCAPROJECTION

Random Distribution Sampling DISTRRANDOM

Sampling SAMPLING

Scaling Range SCALINGRANGE

Substitute Missing Values SUBSTITUTE_MISSING_VALUES

Variance Test VARIANCETEST

PAL Preprocessing Functions can be seen below:

































PAL Functions: Statistics


Category PAL Algorithm Built-in Function NameStatistics Chi-Squared Test for Fitness CHISQTESTFIT

Chi-Squared Test for Independent CHISQTESTIND

Cumulative Distribution Function DISTRPROB

Distribution Fitting DISTRFIT / DISTRFITCENSORED

Grubbs’ Test GRUBBSTEST

Kaplan-Meier Survival Analysis KMSURV

Multivariate Statistics MULTIVARSTAT

Quantile Function DISTRQUANTILE

Univariate Statistics UNIVARSTAT

Variance Equal Test VAREQUALTEST

PAL Statistics Functions can be seen below:

























PAL Functions: Social Network Analysis


Category PAL Algorithm Built-in Function NameSocial Network Analysis Link Prediction LINKPREDICTION

PAL Social Network Analysis Functions can be seen below:






PAL Functions: Miscellaneous


Category PAL Algorithm Built-in Function NameMiscellaneous ABC Analysis ABC

Weighted Score Table WEIGHTEDTABLE

PAL Miscellaneous Functions can be seen below:






http://help.sap.com/hana/SAP_HANA_Predictive_Analysis_Library_PAL_en.pdf#page=548&zoom=100,-208,501


Success – You Completed The Lesson!

10/10Copyright © Blackvard Management Consulting – All rights reserved www.blackvard.com

Congratulations, you completed the lesson!

In this lesson you successfully learned:

1. Predictive Analysis Library (PAL) Overview

2. PAL Function Cheat Sheets

1. Clustering/Classification/Regression

2. Association/Time Series/Preprocessing

3. Statistics/Social Network Analysis/Miscellaneous

3. About us



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