| Package | Description |
|---|---|
| org.deeplearning4j.datasets.datavec |
| Modifier and Type | Method and Description |
|---|---|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addInput(String readerName)
Set as an input, the entire contents (all columns) of the RecordReader or SequenceRecordReader
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addInput(String readerName,
int columnFirst,
int columnLast)
Set as an input, a subset of the specified RecordReader or SequenceRecordReader
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addInputOneHot(String readerName,
int column,
int numClasses)
Add as an input a single column from the specified RecordReader / SequenceRecordReader
The assumption is that the specified column contains integer values in range 0..numClasses-1;
this integer will be converted to a one-hot representation
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addOutput(String readerName)
Set as an output, the entire contents (all columns) of the RecordReader or SequenceRecordReader
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addOutput(String readerName,
int columnFirst,
int columnLast)
Add an output, with a subset of the columns from the named RecordReader or SequenceRecordReader
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addOutputOneHot(String readerName,
int column,
int numClasses)
An an output, where the output is taken from a single column from the specified RecordReader / SequenceRecordReader
The assumption is that the specified column contains integer values in range 0..numClasses-1;
this integer will be converted to a one-hot representation (usually for classification)
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addReader(String readerName,
RecordReader recordReader)
Add a RecordReader for use in .addInput(...) or .addOutput(...)
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.addSequenceReader(String seqReaderName,
SequenceRecordReader seqRecordReader)
Add a SequenceRecordReader for use in .addInput(...) or .addOutput(...)
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.sequenceAlignmentMode(RecordReaderMultiDataSetIterator.AlignmentMode alignmentMode)
Set the sequence alignment mode for all sequences
|
RecordReaderMultiDataSetIterator.Builder |
RecordReaderMultiDataSetIterator.Builder.timeSeriesRandomOffset(boolean timeSeriesRandomOffset,
long rngSeed)
For use with timeseries trained with tbptt
In a given minbatch, shorter time series are padded and appropriately masked to be the same length as the longest time series.
|
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