org.knime.base.node.preproc.autobinner
Class AutoBinner

java.lang.Object
  org.knime.base.node.preproc.autobinner.AutoBinner

public class AutoBinner
extends Object

Creates Bins. Use this class in other nodes.

Author:

Heiko Hofer

Constructor Summary

AutoBinner(AutoBinnerLearnSettings settings)

Method Summary

BufferedDataTable	calcDomainBoundsIfNeccessary(BufferedDataTable data, ExecutionContext exec, List<String> recalcValuesFor) Determines the per column min/max values of the given data if not already present in the domain.
PMMLPreprocDiscretize	execute(BufferedDataTable data, ExecutionContext exec) Determine bins.
PortObjectSpec[]	getOutputSpec(DataTableSpec spec)
static void	validateSettings(AutoBinnerLearnSettings settings) Validates the settings in the passed AutoBinnerLearnSettings object.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AutoBinner

public AutoBinner(AutoBinnerLearnSettings settings)
           throws InvalidSettingsException

Parameters:

settings - The settings object.

Throws:

InvalidSettingsException - when settings are not consistent

Method Detail

execute

public PMMLPreprocDiscretize execute(BufferedDataTable data,
                                     ExecutionContext exec)
                              throws Exception

Determine bins.

Parameters:

data - the input data

exec - the execution context

Returns:

the operation with the discretisation information

Throws:

Exception

calcDomainBoundsIfNeccessary

public BufferedDataTable calcDomainBoundsIfNeccessary(BufferedDataTable data,
                                                      ExecutionContext exec,
                                                      List<String> recalcValuesFor)
                                               throws InvalidSettingsException,
                                                      CanceledExecutionException

Determines the per column min/max values of the given data if not already present in the domain.

Parameters:

data - the data

exec - the execution context

recalcValuesFor - The columns

Returns:

The data with extended domain information

Throws:

InvalidSettingsException

CanceledExecutionException

getOutputSpec

public PortObjectSpec[] getOutputSpec(DataTableSpec spec)
                               throws InvalidSettingsException

Parameters:

spec - The DataTableSpec of the input table.

Returns:

The spec of the output.

Throws:

InvalidSettingsException - If settings and spec given in the constructor are invalid.

validateSettings

public static void validateSettings(AutoBinnerLearnSettings settings)
                             throws InvalidSettingsException

Validates the settings in the passed AutoBinnerLearnSettings object. The specified settings is checked for completeness and consistency.

Parameters:

settings - The settings to validate.

Throws:

InvalidSettingsException - If the validation of the settings failed.