Aster Analytics 5.11 Release Notes Product ID: B700-1002-511K Last updated: October 29, 2013 Aster Analytics version: 5.11 Summary This document describes the new and revised functions in Aster Analytics version 5.11. It also lists known and fixed issues for this release. Contents • Who Should Install this Release? • New Functions • Revised Functions • Getting and Installing Aster Analytics Foundation • Backward Compatibility Notes • Fixed Issues • Naming Convention for Teradata Aster Releases • Contacting Teradata Global Technical Support (GTS) • Third Party Licenses • About This Document Aster Analytics 5.11 Release Notes 1 Aster Analytics 5.11 Release Notes Who Should Install this Release? Who Should Install this Release? All Teradata Aster installations using Aster Database 5.0 or later should consider installing this release for all of the Aster Analytics functions they have licensed from Teradata. New Functions This release introduces the following new functions: Time Series, Path, and Attribution Analysis • Dynamic time warping (DTW): Measures the similarity between two sequences that vary in time or speed. Text Analysis Functions • TextTagging: Tags input tuples according to user-defined rules. These rules comprise logical and text processing operators. • Latent Dirichlet Allocation (LDA) functions: • • LDATrainer: Builds a topic model based on the supplied training data and parameters. • LDAInference: Estimates the topic distribution for each document based on the generated model. • LDATopicPrinter: Displays the readable information of the model. TF_IDF: Evaluates the importance of a word within a specific document, weighted by the number of times the word appears in the entire corpus of documents. Association Analysis Functions • WSRecommender: An item-based, collaborative filtering function that uses a weightedsum algorithm to make recommendations (for example, items or products that users should consider purchasing). Data Transformation Functions • MurmurHash: Computes the hash value of the input columns. • IdentityMatch: Tries to match enterprise customers with users records provided by external data sources. Aster Analytics 5.11 Release Notes 2 Aster Analytics 5.11 Release Notes Revised Functions Revised Functions SSL JDBC support has been added to all SQL-MR driver functions. • minhash • KNN • kmeans • forest_drive • forest_predict • naiveBayesPredict • path_analyzer • outlierFilter • eigen_centrality • local_clustering_coefficient • TrainSentimentExtractor • TrainNamedEntityFinder • TextclassifierTrainer • GLMPredict • GLM • frequentpaths • single_tree_drive • triangle_finder • rectangle_finder • pagerank • degrees • cfilter • dwt • idwt • dwt2D • idwt2D • ldaInference • ldaTrainer For more information, see “Connecting to Aster Database Using SSL JDBC Connections” in Chapter 2 of the Aster Analytics Foundation User Guide. In addition, new versions of the following functions have been released: Aster Analytics 5.11 Release Notes 3 Aster Analytics 5.11 Release Notes Revised Functions Time Series, Path and Attribution Analysis • Attribution: Added multiple input FACT support. Also, this function wad enhanced to provide a time-weighted exponential model in addition to row-number-based calculations. • FrequentPath: Modified to avoid out-of-memory errors when processing certain large transactions. This modification has impacted the performance of this function. Statistical Analysis Functions • ConfusionMatrix: Added precision and recall support. Also, the function now generates a table as output. • CORR_MAP: Now accepts range of column indices in the COLUMNPAIRS argument. • Enhanced Histogram Function (hist_map): Added support for building separate histograms for distinct group by values. • Support Vector Machines (SVM) functions: The SVM function have been replaced by these functions, which significantly improve performance: Notice! The old SVM functions are included in the 5.11 Analytics Foundation Bundle, but should not be used. • SparseSVMTrainer: Builds a predictive model according to a training set. • SparseSVMPredictor: Gives a prediction for each sample in the test set. • SVMModelPrinter: Displays the readable information of the model. Text Analysis Functions • TextTokenizer: Added support for user-defined dictionary. • ExtractSentiment: • • Added support for Chinese and English phrases. • The ONLY_SUBJECTIVE_SENTENCE argument has been deprecated. • In the MODEL argument, MAX_ENTROPY is replaced by CLASSIFICATION to clarify a classification model is used. MAX_ENTROPY limited the model to only one kind of classification type. • The out_content column is deleted if the level is DOCUMENT. • The out_feature column is deleted. TrainSentimentExtractor: In the previous version, a maximum entropy model is trained by trainSentimentExtractor itself. In this version, the textClassifierTrainer function is called directly to benefit from the continuous update of textClassifierTrainer. Data Transformation Functions • XMLParser: Added an error handling argument. • XMLRelation: Added an error handling argument. Aster Analytics 5.11 Release Notes 4 Aster Analytics 5.11 Release Notes Getting and Installing Aster Analytics Foundation Getting and Installing Aster Analytics Foundation To get the release, obtain the Aster Analytics Foundation 5.11 installer for the functions you have licensed. Backward Compatibility Notes • Internationalization is not completely supported on Aster Database versions 5.0, 5.0.1, 5.0.2, and 5.10. • On Aster Database versions 5.0, 5.0.1, 5.0.2, and 5.10, SQL-MR and SQL queries crash when relations do not contain columns. Known Issues When GLM function uses the Poisson family with non-canonical links and the parameters are not initialized properly, the function throws an error message. Fixed Issues Permission denied for schema "public" and for user "loadusr" Issue ID: ANLY-707 Details: There are permissions issues with various SQL-MR functions when a user who does not have CREATE privileges on the public schema attempts to use the functions. An example error message is: ERROR: SQL-MR function TEXTCLASSIFIERTRAINER failed: Error occurred when install model file: Fail to install file: /tmp/1379088204401/knn.bin Message:[AsterData][NClusterJDBCDSII](34) ERROR: permission denied for schema "public" for user "loadusr" () A note has been added to Chapter 2 of the Aster Analytics Foundation User Guide: “Before you run SQL-MR functions, make sure you have the appropriate CREATE privileges on the public schema. This helps you avoid permission issues in cases where CREATE privileges on the public schema are needed.” Aster Analytics 5.11 Release Notes 5 Aster Analytics 5.11 Release Notes Fixed Issues SQL-MR function FOREST_DRIVE fails because permission was denied Issue ID: ANLY-708 Details: SQLMR function does not run unless the “public” and “loadusr” user is granted CREATE on public schema: "ERROR: SQL-MR function FOREST_DRIVE failed: [AsterData][NClusterJDBCDSII](34) ERROR: permission denied for schema "public" for user "loadusr" () This issue has been fixed. Issue with writing to public schema Issue ID: ANLY-699 Details: Some functions like knn and glm refer to the public schema, which causes issues when the Aster Foundation library is not installed within that schema. To resolve this issue, if you install these functions in a schema other than 'public', add that schema into the search path. The forest_drive function creates an unnecessary table (default_dt_monitor_table) on each call Issue ID: ANLY-694 Details: The default_dt_monitor_table table is a useful table that the function uses to store metadata about the decision tree it creates. Two arguments were added MONITORTABLE and DROPMONITORTABLE to the function that let you specify the name of this table (the default is default_dt_monitor_table) and whether to drop an existing table monitor table with the same name. The Aster Analytics Foundation User Guide contains descriptions of these two arguments. The forest_drive function is not taking 'numeric(12,2)' as a datatype Issue ID: ANLY-673 Details: This error message appears when using the forest_drive function: JDBC Out of Memory Error. This issue has been fixed, but at a cost to performance. The FrequentPaths function fails due to out-of-memory error Issue ID: ANLY-673 Details: In cases of large transactions, an out-of-memory error is generated: Error: Columns in 'numericInputs' clause must be numeric This issue has been fixed. Aster Analytics 5.11 Release Notes 6 Aster Analytics 5.11 Release Notes Naming Convention for Teradata Aster Releases Naming Convention for Teradata Aster Releases Teradata Aster release naming convention has changed beginning in January 2013. The new release naming convention is as follows: • AD: Aster Database • AC: Aster Client • AA: Aster Analytics Foundation Release numbering for all of the above will follow this convention: XX.YY.ZZ.nn where: • XX is a major release. • YY is a minor release. • ZZ is a maintenance release. • nn is a efix or hotpatch. We use this terminology: • major release: Major releases of Aster typically introduce new features. • minor release: Point releases of Aster Database typically provide feature enhancements and bug fixes. A point release may also introduce new features. • maintenance release: Maintenance releases of Aster typically provide only bug fixes. They may also include feature enhancements. • efix or hotpatch: Efix and hotpatch releases are introduced to address customer issues of an urgent nature. Contacting Teradata Global Technical Support (GTS) For assistance and updated documentation, contact Teradata Global Technical Support (GTS): • Support Portal: http://tays.teradata.com/ • International: 212-444-0443 • US Customers: 877-698-3282 • Toll Free Number: 877-MyT-Data Aster Analytics 5.11 Release Notes 7 Aster Analytics 5.11 Release Notes Third Party Licenses Third Party Licenses Your Aster installation includes a number of open source products. The license text for these products is available in the Aster Database User Guide, in the chapter “Licenses” and on your Aster queen, as a set of text files in the /home/beehive/licenses directory. About This Document Aster Analytics Release Notes, version 5.11, 1st edition, 2013-10-17 Copyright and Legal Statements The product or products described in this book are licensed products of Teradata Corporation or its affiliates. Teradata, Aster, Aster Data, nCluster, SQL-MapReduce, Aprimo, BYNET, DBC/1012, DecisionCast, DecisionFlow, DecisionPoint, Eye logo design, InfoWise, Meta Warehouse, MyCommerce, SeeChain, SeeCommerce, SeeRisk, Teradata Decision Experts, Teradata Source Experts, WebAnalyst, “More Data. Big Insights,” and “You’ve Never Seen Your Business Like This Before” are trademarks or registered trademarks of Teradata Corporation or its affiliates. Adaptec and SCSISelect are trademarks or registered trademarks of Adaptec, Inc. 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Aster Analytics 5.11 Release Notes 8 Aster Analytics 5.11 Release Notes About This Document THE INFORMATION CONTAINED IN THIS DOCUMENT IS PROVIDED ON AN “AS-IS” BASIS, WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, OR NON-INFRINGEMENT. SOME JURISDICTIONS DO NOT ALLOW THE EXCLUSION OF IMPLIED WARRANTIES, SO THE ABOVE EXCLUSION MAY NOT APPLY TO YOU. IN NO EVENT WILL TERADATA CORPORATION BE LIABLE FOR ANY INDIRECT, DIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS OR LOST SAVINGS, EVEN IF EXPRESSLY ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. The information contained in this document may contain references or cross-references to features, functions, products, or services that are not announced or available in your country. Such references do not imply that Teradata Corporation intends to announce such features, functions, products, or services in your country. Please consult your local Teradata Corporation representative for those features, functions, products, or services available in your country. Information contained in this document may contain technical inaccuracies or typographical errors. Information may be changed or updated without notice. Teradata Corporation may also make improvements or changes in the products or services described in this information at any time without notice. If you’d like to help maintain the quality of our product documentation, please send us your comments on the accuracy, clarity, organization, and usefulness of this document. You can send your comments to [email protected]. Any comments or materials (collectively referred to as “Feedback”) sent to Teradata Corporation will be deemed non-confidential. Teradata Corporation will have no obligation of any kind with respect to Feedback and will be free to use, reproduce, disclose, exhibit, display, transform, create derivative works of, and distribute the Feedback and derivative works thereof without limitation on a royalty-free basis. Further, Teradata Corporation will be free to use any ideas, concepts, know-how, or techniques contained in such Feedback for any purpose whatsoever, including developing, manufacturing, or marketing products or services incorporating Feedback. Copyright © 2013 by Teradata Corporation. All Rights Reserved. Release Chronology This release chronology covers Aster Analytics release only. Prior to this list, Aster Analytics Foundation was released with Aster Database. Aster Analytics 5.0-Release1 (October 2012); 5.0-Release 2 (December 2012) Aster Analytics 5.11 (October 2013) Aster Analytics 5.11 Release Notes 9
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