UciSequenceDataSetIterator (deeplearning4j 1.0.0-beta6 API)

Skip navigation links

Prev Class
Next Class

All Classes

Summary:
Nested |
Field |
Constr |
Method

Detail:
Field |
Constr |
Method

java.lang.Object
- org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
- - org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator

All Implemented Interfaces:

Serializable, Iterator<DataSet>, DataSetIterator
```
public class UciSequenceDataSetIterator
extends SequenceRecordReaderDataSetIterator
```
UCI synthetic control chart time series dataset. This dataset is useful for classification of univariate time series with six categories:
Normal, Cyclic, Increasing trend, Decreasing trend, Upward shift, Downward shift Details: https://archive.ics.uci.edu/ml/datasets/Synthetic+Control+Chart+Time+Series
Data: https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/synthetic_control.data
Image: https://archive.ics.uci.edu/ml/machine-learning-databases/synthetic_control-mld/data.jpeg

Author:

Briton Park (bpark738)

See Also:

Serialized Form

Nested Class Summary
- Nested classes/interfaces inherited from class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
  SequenceRecordReaderDataSetIterator.AlignmentMode

Field Summary

Fields
Modifier and Type Field and Description

protected DataSetPreProcessor preProcessor

Constructor Summary

Constructors
Constructor and Description
`UciSequenceDataSetIterator(int batchSize)` Create an iterator for the training set, with the specified minibatch size.
`UciSequenceDataSetIterator(int batchSize, DataSetType set)` Create an iterator for the training or test set, with the specified minibatch size.
`UciSequenceDataSetIterator(int batchSize, DataSetType set, long rngSeed)` Create an iterator for the training or test set, with the specified minibatch size

Method Summary
- Methods inherited from class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
  asyncSupported, batch, getLabels, hasNext, inputColumns, loadFromMetaData, loadFromMetaData, next, next, remove, reset, resetSupported, setPreProcessor, totalOutcomes
- Methods inherited from class java.lang.Object
  clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
- Methods inherited from interface org.nd4j.linalg.dataset.api.iterator.DataSetIterator
  getPreProcessor
- Methods inherited from interface java.util.Iterator
  forEachRemaining

- Field Detail
  - preProcessor
```
protected DataSetPreProcessor preProcessor
```
- Constructor Detail
  - UciSequenceDataSetIterator
```
public UciSequenceDataSetIterator(int batchSize)
```
    Create an iterator for the training set, with the specified minibatch size. Randomized with RNG seed 123
    
    Parameters:
    
    batchSize - Minibatch size
  - UciSequenceDataSetIterator
```
public UciSequenceDataSetIterator(int batchSize,
                                  DataSetType set)
```
    Create an iterator for the training or test set, with the specified minibatch size. Randomized with RNG seed 123
    
    Parameters:
    
    batchSize - Minibatch size
    
    set - Set: training or test
  - UciSequenceDataSetIterator
```
public UciSequenceDataSetIterator(int batchSize,
                                  DataSetType set,
                                  long rngSeed)
```
    Create an iterator for the training or test set, with the specified minibatch size
    
    Parameters:
    
    batchSize - Minibatch size
    
    set - Set: training or test
    
    rngSeed - Random number generator seed to use for randomization

Skip navigation links

Prev Class
Next Class

All Classes

Summary:
Nested |
Field |
Constr |
Method

Detail:
Field |
Constr |
Method

Copyright © 2020. All rights reserved.