public class NormalizerPMMLApplyNodeModel extends NormalizerApplyNodeModel
Constructor and Description |
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NormalizerPMMLApplyNodeModel() |
Modifier and Type | Method and Description |
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protected PortObjectSpec[] |
configure(PortObjectSpec[] inSpecs)
Configure method for general port types.
|
StreamableOperator |
createStreamableOperator(PartitionInfo partitionInfo,
PortObjectSpec[] inSpecs)
Streaming API (pending):
Factory method for a streamable operator that is used to execute this
node.
|
protected PortObject[] |
execute(PortObject[] inData,
ExecutionContext exec)
Execute method for general port types.
|
protected AffineTransConfiguration |
getAffineTrans(AffineTransConfiguration affineTransConfig)
Return the configuration with possible additional transformations made.
|
InputPortRole[] |
getInputPortRoles()
Streaming API (pending):
Defines properties on the input ports when used in a streamed and/or
distributed fashion.
|
OutputPortRole[] |
getOutputPortRoles()
Streaming API (pending):
Similar to
NodeModel.getInputPortRoles() describes the role of the output. |
loadInternals, loadValidatedSettingsFrom, reset, saveInternals, saveSettingsTo, validateSettings
addWarningListener, computeFinalOutputSpecs, configure, continueLoop, createInitialStreamableOperatorInternals, createMergeOperator, execute, finishStreamableExecution, getAvailableFlowVariables, getAvailableInputFlowVariables, getCredentialsProvider, getInHiLiteHandler, getInPortType, getInteractiveNodeView, getLogger, getLoopEndNode, getLoopStartNode, getNrInPorts, getNrOutPorts, getOutHiLiteHandler, getOutPortType, getWarningMessage, iterate, notifyViews, notifyWarningListeners, onDispose, peekFlowVariableDouble, peekFlowVariableInt, peekFlowVariableString, pushFlowVariableDouble, pushFlowVariableInt, pushFlowVariableString, removeWarningListener, resetAndConfigureLoopBody, setInHiLiteHandler, setWarningMessage, stateChanged
protected PortObjectSpec[] configure(PortObjectSpec[] inSpecs) throws InvalidSettingsException
PortObjectSpecs
that are defined through the PortTypes
given in the constructor
unless this model is an
InactiveBranchConsumer
(most nodes are not). Similarly, the returned output specs need to comply with
their port types spec class (otherwise an error is reported by the framework). They may also be null (out spec
not known at time of configuration) or
inactive (output and downstream
nodes are inactive).
For a general description of the configure method refer to the description of the specialized
NodeModel.configure(DataTableSpec[])
methods as it addresses more use cases.
configure
in class NormalizerApplyNodeModel
inSpecs
- The input data table specs. Items of the array could be null if no spec is available from the
corresponding input port (i.e. not connected or upstream node does not produce an output spec). If a
port is of type BufferedDataTable.TYPE
and no spec is available the framework will replace
null by an empty DataTableSpec
(no columns) unless the port is marked as optional as per
constructor.InvalidSettingsException
- If this node can't be configured.protected PortObject[] execute(PortObject[] inData, ExecutionContext exec) throws Exception
inObjects
represent the input objects and the
returned array represents the output objects. The elements in the argument array are generally guaranteed to be
not null and subclasses of the PortObject classes
that are defined through the
PortTypes
given in the constructor
.
Similarly, the returned output objects need to comply with their port types object class (otherwise an error is
reported by the framework) and must not be null. There are few exceptions to these rules:
InactiveBranchConsumer
may find instances of InactiveBranchPortObject
in
case the corresponding input is inactive.InactiveBranchPortObject
elements in case the output should be
inactivated.corresponding flags
.
For a general description of the execute method refer to the description of the specialized
NodeModel.execute(BufferedDataTable[], ExecutionContext)
methods as it addresses more use cases.
execute
in class NormalizerApplyNodeModel
inData
- The input objects.exec
- For BufferedDataTable
creation and progress.Exception
- If the node execution fails for any reason.public StreamableOperator createStreamableOperator(PartitionInfo partitionInfo, PortObjectSpec[] inSpecs) throws InvalidSettingsException
NodeModel.execute(PortObject[], ExecutionContext)
method. Subclasses
may override it to return a new operator that follows the data handling
described by the NodeModel.getInputPortRoles()
and
NodeModel.getOutputPortRoles()
methods.
This method is called by the node executor once or multiple times depending on the input roles. If any input is distributable, the method is called multiple times (for each partition once), possibly on different (remote) clones of this NodeModel.
createStreamableOperator
in class NormalizerApplyNodeModel
partitionInfo
- The partition info describing the chunk (if
distributable).inSpecs
- The port object specs of the input ports. These are
identical to the specs that
NodeModel.configure(PortObjectSpec[])
was last called with
(also on the remote side).InvalidSettingsException
- Usually not thrown in the client but
still part of the method signature as implementations often
run the same methods as during configure. (This method is not
being called when configure fails.)public InputPortRole[] getInputPortRoles()
A data input is streamed when the node implementation only needs to see
each data record once (no iterative access), otherwise it's non-streamed.
If a port is streamed the
StreamableOperator.runFinal(PortInput[], PortOutput[], ExecutionContext)
method will provide the input as a RowInput
object, to which the
client implementation can safely type-cast to. For non-streamed ports the
input is represented by an instance of PortObjectInput
. Non-data
ports (not BufferedDataTable
) are always non-streamed.
An data input may be distributable (= parallelizable), in which case the data is processed in paralleled (possibly scattered in the cloud). Non-data ports are always non-distributable (but the execution may still take place in a distributed fashion if another port is distributed -- any non-distributable port is then simply duplicated as required).
getInputPortRoles
in class NormalizerApplyNodeModel
InputPortRole.NONDISTRIBUTED_NONSTREAMABLE
.public OutputPortRole[] getOutputPortRoles()
NodeModel.getInputPortRoles()
describes the role of the output.
An output is distributable when the (distributed!) input directly maps to
the output without any further merge or reduction step (which is
otherwise described by the NodeModel.createMergeOperator()
). Only data
outputs can be distributable, any other (model) output is always
non-distributable.
The input- and output roles define the place where the output data is
generated:
StreamableOperator.runFinal(PortInput[], PortOutput[], ExecutionContext)
method. Only one instance of the operator is used.
StreamableOperator.runFinal(PortInput[], PortOutput[], ExecutionContext)
method, too. Note that in this case there are several instances of a
StreamableOperator
(either representing different threads in the
same JVM or distributed in a compute cluster).
NodeModel.finishStreamableExecution(StreamableOperatorInternals, ExecutionContext, PortOutput[])
implementation. The client implementation must also overwrite the
NodeModel.createMergeOperator()
method. The implementation of
StreamableOperator.runFinal(PortInput[], PortOutput[], ExecutionContext)
must not return or push any result into the PortOutput
representations.
StreamableOperator
instances
and the model after the merge in the NodeModel.getOutputPortRoles
in class NormalizerApplyNodeModel
OutputPortRole.NONDISTRIBUTED
.protected AffineTransConfiguration getAffineTrans(AffineTransConfiguration affineTransConfig)
getAffineTrans
in class NormalizerApplyNodeModel
affineTransConfig
- the original affine transformation configuration.
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