1. SAP’s Predictive Analysis Library (PAL)
Function Cheat Sheets
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2. Agenda Predictive Analysis Library (PAL) Overview
What Will Be Covered:
Predictive Analysis Library (PAL) Overview
PAL Function Cheat Sheets
Clustering/Classification/Regression
Association/Time Series/Preprocessing
Statistics/Social Network Analysis/Miscellaneous
About us
Miscellaneous

3. 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:
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4. Predictive Analysis Library (PAL ) Overview
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:
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5. Predictive Analysis Library (PAL ) Overview
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:
For further information please refer to:
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6. PAL Functions: Clustering
PAL Clustering Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Clustering
Affinity Propagation AP
Agglomerate Hierarchical Clustering
HCAGGLOMERATE
Anomaly Detection
ANOMALYDETECTION
Cluster Assignment
CLUSTERASSIGNMENT
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
For further information please refer to:
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7. PAL Functions: Classification
PAL Classification Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Classification
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
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
For further information please refer to:
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8. PAL Functions: Regression
PAL Regression Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Regression
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
For further information please refer to:
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9. PAL Functions: Association
PAL Association Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Association
Apriori
APRIORIRULE / LITEAPRIORIRULE / APRIORIRULE2
FP-Growth
FPGROWTH
K-Optimal Rule Discovery (KORD)
KORD
For further information please refer to:
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10. PAL Functions: Time Series
PAL Time Series Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Time 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
For further information please refer to:
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11. PAL Functions: Preprocessing
PAL Preprocessing Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Preprocessing
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
For further information please refer to:
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12. PAL Functions: Statistics
PAL Statistics Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Statistics
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
For further information please refer to:
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13. PAL Functions: Social Network Analysis
PAL Social Network Analysis Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Social Network Analysis
Link Prediction
LINKPREDICTION
For further information please refer to:
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14. PAL Functions: Miscellaneous
PAL Miscellaneous Functions can be seen below:
Category
PAL Algorithm
Built-in Function Name
Miscellaneous
ABC Analysis
ABC
Weighted Score Table
WEIGHTEDTABLE
For further information please refer to:
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15. Success – You Completed The Lesson!
Congratulations, you completed the lesson!
In this lesson you successfully learned:
Predictive Analysis Library (PAL) Overview
PAL Function Cheat Sheets
Clustering/Classification/Regression
Association/Time Series/Preprocessing
Statistics/Social Network Analysis/Miscellaneous
About us
Copyright © Blackvard Management Consulting – All rights reserved
10/10

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