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Reference
Find details on the SPL language, toolkits, APIs, commands, and more.
Toolkits
A toolkit is a set of SPL artifacts, which are organized into a package. Toolkits make SPL or native functions and primitive or composite operators reusable across different applications.
Toolkits
Toolkit com.teracloud.streams.pmml 6.0.0
Namespace com.teracloud.streams.pmml
Operator PMMLScoring
Supported model types

Welcome
Learn about the core capabilities of Teracloud® Streams, its architecture, and key concepts.
Installing
Use this information to install, upgrade, and uninstall the Teracloud® Streams product.
Configuring
Create a basic or an enterprise domain which is a single point for configuring and managing common resources, security, and instances.
Administering
Administer the product by using the Teracloud® Streams graphical user interface, APIs, or the streamtool command-line interface.
Developing
Develop stream applications with the Streams Processing Language (SPL), Java, and Python.
Troubleshooting
Resolve problems with Teracloud® Streams using the troubleshooting tools provided with the product as well as the resources offered by Teracloud Support.
Reference
Find details on the SPL language, toolkits, APIs, commands, and more.
- APIs
  Application programming interfaces (APIs) provide functions that simplify applications development.
- Job configuration overlays
  You can specify or change configuration parameters when you use the submitjob or updateoperators operations. The settings control submission constraints, host constraints and locations, and operator status. Parameters are captured and updated in the configuration JSON file. When you change the values in the job configuration overlay file, the changes override any previously set values.
- Commands
  Teracloud® Streams provides a number of commands you use to perform tasks.
- Operator model
  An operator model is an XML document that describes the basic properties of a primitive operator.
- Streams Processing Language (SPL)
  Streams Processing Language (SPL) is a distributed data flow composition language that is used in Teracloud® Streams. SPL has primitive types, program structures, and definitions that are tailored for streaming data.
- Toolkits
  A toolkit is a set of SPL artifacts, which are organized into a package. Toolkits make SPL or native functions and primitive or composite operators reusable across different applications.
  - Specialized toolkit requirements and restrictions
    Several of the specialized toolkits require RPMs that are not required by the Teracloud® Streams product. There are also toolkit restrictions on some platforms.
  - Toolkits
- SPLDOC markup
  You can use SPLDOC markup in the descriptions associated with the SPL artifacts in a toolkit. The spl-make-doc command generates HTML documentation from the marked up artifacts.
Glossary
Use this glossary to find terms and definitions for Teracloud® Streams.

Supported model types

Details on the supported model types and restrictions on these types.

The table lists restrictions and applicable output features for the given model type.

Note that if the model has output fields explicitely configured, these output field names always takes precedence over target/feature names. To analyse your model outputs you can use the parameter rawResultAttributeName. If that parameter is set to an output attribute with type rstring the complete model output as returned by the Analytics engine is dumped as JSON array to the specified attribute.


Type	Restrictions	Result Features available w/o OutputField
Association Rules	Transactions are not supported	EntityId, EntityAffinity
Baseline Models	Only 'zValue' teststatistic supported. All others need transactions. Transactions are not supported	PredictedValue
Bayesian Network	none	PredictedValue, StandardError
Clustering	none	ClusterId, ClusterAffinity
Gaussian Process	none	PredictedValue
General Regression	none	PredictedValue
k-Nearest Neighbors	none	RecordID (SPSS-specific), EntityAffinity
Naive Bayes	none	PredictedValue, Confidence, Probability per Category
Neural Networks	none	PredictedValue, Probability per Category, Confidence, Extended
Regression	none	PredictedValue, Confidence, Probability per Category
Ruleset	none	PredictedValue, Confidence, EntityId Known issue: EntityId is not mappable via <target>.EntityId but only like an outputfield with SPSS specific string 'ruleset-firstid'. In case of multiple targets it can be mapped only once
Scorecard	none	PredictedValue
Sequences	Not supported	n/a
Text	Not supported	n/a
Time Series	Not supported	n/a
Decision Trees	none	PredictedValue, Confidence, Probability, Probability per Category, EntityId
Support Vector Machine	none	PredictedValue