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New Features
SQL generation enhancements.
The Aggregate node now supports SQL generation for date, time,
timesta mp, an
d string data types, in ad dition to integer and real. With IBM Netezza databases, the
Sample node supports SQL generation for simple and complex sampling, and the Binning node
supports SQL generation for all binning methods except Tiles.
In-database model scoring.
For IBM DB2 for z/OS, IBM Netezza and Teradata databases, it is
possible to enable SQL pushback of many of the model nuggets to carry out model scoring (as
opposed to in-database mining) within the database. To do this, you can install a scoring a dapter
into the databas e. Whe n you publish a model for the scoring adapter, the model is enabled to use
the user-defined function (UDF) capabilities of the database to perform the scoring.
A new configuration option, db_udf_enabled in options.cfg, causes the SQL generatio n option
to generate UDF SQL by default.
New format for database connection in batch mode.
The format for specifying a database connection
in batch m ode has chan ged to a single argument, to be consistent with the way it is specified in
scripting .
Enhancements to SPSS Statistics integration.
On the Statistics Output node, additional procedures
are available on the Syntax tab through the Select a dialog button. The Regression submenu
now supports Partial Least Sq uares regression, and there is a new Forecasting submenu with the
followi ng options: Spect r al Analysis, Sequence Charts , Autocorrelations, and Cross-correlations.
For more information, see the SPSS Statistics documentation.
The Syntax tab of the Statistics Output node also has a new option to generate a Statistics File
source node for importing the data that results from running a stream co ntaining the node. This is
useful where a pr ocedure writes fields such as scores to the active dataset in addition to dis playing
output, as these fields would otherwise not be visible.
Non-root user on UNIX servers.
If you have SPSS Modeler Server installed on a UNIX server, you
can n ow install, configure, and start and stop SPSS Modeler Server as a non-root user without the
need for a private password database.
Deployed streams can now access IBM SPSS Collaboration and Deployment Services model
management features.
When a stream is de ployed to IBM SPSS Collaboration and De ployment
Services as a stream, it can now use the same model management features as it could if deployed
as a scenario. These features include evaluation, refresh, sc ore, and champion/challe nger.
Improved method of changing ODBC connection for SPSS Modeler stream and scenario job steps.
For
stream and sc enario job steps in IBM SPSS Collabora tion and Deployment Services, changes to
an ODBC connection and related logon credentia ls apply to all related job steps. This means that
you no longer have to change the job steps one by one.
Choice of execution branch in deployed streams.
For stream job steps in IBM SPSS Collaboration
and Deployme nt Services, if the stream contains branches you can now choose one or more
stream branches to execute.