use of org.knime.core.node.streamable.StreamableOperator in project knime-core by knime.
the class ExtractMissingValueCauseNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
@Override
public StreamableOperatorInternals saveInternals() {
return null;
}
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
final RowInput in = (RowInput) inputs[0];
final RowOutput out = (RowOutput) outputs[0];
ExtractMissingValueCauseNodeModel.this.execute(in, out, exec, -1);
}
};
}
use of org.knime.core.node.streamable.StreamableOperator in project knime-core by knime.
the class TreeEnsembleClassificationPredictorNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
TreeEnsembleModelPortObject model = (TreeEnsembleModelPortObject) ((PortObjectInput) inputs[0]).getPortObject();
TreeEnsembleModelPortObjectSpec modelSpec = model.getSpec();
DataTableSpec dataSpec = (DataTableSpec) inSpecs[1];
final TreeEnsemblePredictor pred = new TreeEnsemblePredictor(modelSpec, model, dataSpec, m_configuration);
ColumnRearranger rearranger = pred.getPredictionRearranger();
StreamableFunction func = rearranger.createStreamableFunction(1, 0);
func.runFinal(inputs, outputs, exec);
}
};
}
use of org.knime.core.node.streamable.StreamableOperator in project knime-core by knime.
the class GradientBoostingPMMLPredictorNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
PMMLPortObject model = (PMMLPortObject) ((PortObjectInput) inputs[0]).getPortObject();
DataTableSpec dataSpec = (DataTableSpec) inSpecs[1];
GradientBoostingModelPortObject gbt = importModel(model);
final GradientBoostingPredictor<?> pred = new GradientBoostingPredictor<>(gbt.getEnsembleModel(), gbt.getSpec(), dataSpec, m_configuration);
ColumnRearranger rearranger = pred.getPredictionRearranger();
StreamableFunction func = rearranger.createStreamableFunction(1, 0);
func.runFinal(inputs, outputs, exec);
}
};
}
use of org.knime.core.node.streamable.StreamableOperator in project knime-core by knime.
the class StringToDurationPeriodNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
private SimpleStreamableOperatorInternals m_internals = new SimpleStreamableOperatorInternals();
/**
* {@inheritDoc}
*/
@Override
public void runIntermediate(final PortInput[] inputs, final ExecutionContext exec) throws Exception {
final RowInput rowInput = (RowInput) inputs[0];
final DataRow row = rowInput.poll();
if (row != null) {
final DataTableSpec inSpec = rowInput.getDataTableSpec();
final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
final Config config = m_internals.getConfig();
// detect types
detectTypes(new OneRowAdditionalRowInput(rowInput, row));
for (int i = 0; i < m_detectedTypes.length; i++) {
config.addDataType("detected_type" + i, m_detectedTypes[i]);
}
// write detected types and column names into config
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
for (int i = 0; i < rowInput.getDataTableSpec().getNumColumns(); i++) {
final int searchIdx = Arrays.binarySearch(includeIndexes, i);
config.addString("colname" + i, inSpec.getColumnNames()[i]);
if (searchIdx < 0) {
config.addDataType("type" + i, inSpec.getColumnSpec(i).getType());
} else {
config.addDataType("type" + i, m_detectedTypes[searchIdx] != null ? m_detectedTypes[searchIdx] : null);
}
}
config.addInt("sizeRow", rowInput.getDataTableSpec().getNumColumns());
} else {
for (int i = 0; i < inSpec.getNumColumns(); i++) {
config.addString("colname" + i, inSpec.getColumnNames()[i]);
config.addDataType("type" + i, inSpec.getColumnSpec(i).getType());
}
for (int i = 0; i < m_detectedTypes.length; i++) {
config.addString("colname" + (i + inSpec.getNumColumns()), new UniqueNameGenerator(inSpec).newName(inSpec.getColumnSpec(includeIndexes[i]).getName() + m_suffix.getStringValue()));
config.addDataType("type" + (i + inSpec.getNumColumns()), m_detectedTypes[i]);
}
config.addInt("sizeRow", inSpec.getNumColumns() + m_detectedTypes.length);
}
config.addBoolean("needsIteration", false);
} else {
m_internals.getConfig().addInt("sizeRow", 0);
}
rowInput.close();
}
/**
* {@inheritDoc}
*/
@Override
public StreamableOperatorInternals saveInternals() {
return m_internals;
}
/**
* {@inheritDoc}
*/
@Override
public void loadInternals(final StreamableOperatorInternals internals) {
m_internals = (SimpleStreamableOperatorInternals) internals;
}
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
final RowInput in = (RowInput) inputs[0];
final RowOutput out = (RowOutput) outputs[0];
final DataTableSpec inSpec = in.getDataTableSpec();
final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
// read detected types from config
final DataType[] detectedTypes = new DataType[includeIndexes.length];
final Config config = m_internals.getConfig();
for (int i = 0; i < includeIndexes.length; i++) {
detectedTypes[i] = config.getDataType("detected_type" + i, null);
}
// compute every row
DataRow row;
while ((row = in.poll()) != null) {
exec.checkCanceled();
DataCell[] datacells = new DataCell[includeIndexes.length];
for (int i = 0; i < includeIndexes.length; i++) {
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
final StringToDurationPeriodCellFactory cellFac = new StringToDurationPeriodCellFactory(new DataColumnSpecCreator(inSpec.getColumnNames()[includeIndexes[i]], detectedTypes[i]).createSpec(), includeIndexes[i]);
datacells[i] = cellFac.getCells(row)[0];
} else {
final DataColumnSpec dataColSpec = new UniqueNameGenerator(inSpec).newColumn(inSpec.getColumnNames()[includeIndexes[i]] + m_suffix.getStringValue(), detectedTypes[i]);
final StringToDurationPeriodCellFactory cellFac = new StringToDurationPeriodCellFactory(dataColSpec, includeIndexes[i]);
datacells[i] = cellFac.getCells(row)[0];
}
}
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
out.push(new ReplacedColumnsDataRow(row, datacells, includeIndexes));
} else {
out.push(new AppendedColumnRow(row, datacells));
}
}
in.close();
out.close();
}
};
}
use of org.knime.core.node.streamable.StreamableOperator in project knime-core by knime.
the class OldToNewTimeNodeModel method createStreamableOperator.
/**
* {@inheritDoc}
*/
@Override
public StreamableOperator createStreamableOperator(final PartitionInfo partitionInfo, final PortObjectSpec[] inSpecs) throws InvalidSettingsException {
return new StreamableOperator() {
SimpleStreamableOperatorInternals m_internals = new SimpleStreamableOperatorInternals();
/**
* {@inheritDoc}
*/
@Override
public void runIntermediate(final PortInput[] inputs, final ExecutionContext exec) throws Exception {
if (partitionInfo.getPartitionIndex() == 0) {
final RowInput rowInput = (RowInput) inputs[0];
final DataRow row = rowInput.poll();
if (row != null) {
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
final DataColumnSpec[] colSpecs = new DataColumnSpec[row.getNumCells()];
final DataTableSpec inSpec = rowInput.getDataTableSpec();
final DataColumnSpec[] newColumnSpecs = getNewIncludedColumnSpecs(inSpec, row);
final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
for (int i = 0; i < inSpec.getNumColumns(); i++) {
final int searchIdx = Arrays.binarySearch(includeIndexes, i);
if (searchIdx < 0) {
colSpecs[i] = inSpec.getColumnSpec(i);
} else {
colSpecs[i] = newColumnSpecs[searchIdx];
}
}
final Config config = m_internals.getConfig();
config.addBoolean("hasIterated", false);
for (int i = 0; i < inSpec.getNumColumns(); i++) {
config.addDataType("type" + i, colSpecs[i].getType());
config.addString("colname" + i, colSpecs[i].getName());
}
config.addInt("sizeRow", colSpecs.length);
} else {
final DataTableSpec inSpec = rowInput.getDataTableSpec();
final DataColumnSpec[] newColumnSpecs = getNewIncludedColumnSpecs(inSpec, row);
final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
final DataColumnSpec[] colSpecs = new DataColumnSpec[row.getNumCells() + includeIndexes.length];
for (int i = 0; i < inSpec.getNumColumns(); i++) {
colSpecs[i] = inSpec.getColumnSpec(i);
}
for (int i = 0; i < newColumnSpecs.length; i++) {
colSpecs[i + inSpec.getNumColumns()] = new UniqueNameGenerator(inSpec).newColumn(newColumnSpecs[i].getName() + m_suffix.getStringValue(), newColumnSpecs[i].getType());
}
final Config config = m_internals.getConfig();
config.addBoolean("hasIterated", false);
for (int i = 0; i < colSpecs.length; i++) {
config.addDataType("type" + i, colSpecs[i].getType());
config.addString("colname" + i, colSpecs[i].getName());
}
config.addInt("sizeRow", colSpecs.length);
}
} else {
m_internals.getConfig().addInt("sizeRow", 0);
}
}
}
/**
* {@inheritDoc}
*/
@Override
public StreamableOperatorInternals saveInternals() {
return m_internals;
}
@Override
public void runFinal(final PortInput[] inputs, final PortOutput[] outputs, final ExecutionContext exec) throws Exception {
final RowInput in = (RowInput) inputs[0];
final RowOutput out = (RowOutput) outputs[0];
final DataTableSpec inSpec = in.getDataTableSpec();
final int[] includeIndexes = Arrays.stream(m_colSelect.applyTo(inSpec).getIncludes()).mapToInt(s -> inSpec.findColumnIndex(s)).toArray();
DataRow row;
while ((row = in.poll()) != null) {
exec.checkCanceled();
final DataColumnSpec[] newColumnSpecs = getNewIncludedColumnSpecs(inSpec, row);
DataCell[] datacells = new DataCell[includeIndexes.length];
for (int i = 0; i < includeIndexes.length; i++) {
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
ConvertTimeCellFactory cellFac = new ConvertTimeCellFactory(newColumnSpecs[i], i, includeIndexes[i]);
datacells[i] = cellFac.getCells(row)[0];
} else {
final DataColumnSpec dataColSpec = new UniqueNameGenerator(inSpec).newColumn(newColumnSpecs[i].getName() + m_suffix.getStringValue(), newColumnSpecs[i].getType());
ConvertTimeCellFactory cellFac = new ConvertTimeCellFactory(dataColSpec, i, includeIndexes[i]);
datacells[i] = cellFac.getCells(row)[0];
}
}
if (m_isReplaceOrAppend.getStringValue().equals(OPTION_REPLACE)) {
out.push(new ReplacedColumnsDataRow(row, datacells, includeIndexes));
} else {
out.push(new AppendedColumnRow(row, datacells));
}
}
in.close();
out.close();
}
};
}
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