AmesRandomAccess (Deep Java Library 0.17.0 - basicdataset API)

java.lang.Object
- ai.djl.training.dataset.RandomAccessDataset
- - ai.djl.basicdataset.tabular.CsvDataset
  - - ai.djl.basicdataset.tabular.AmesRandomAccess

All Implemented Interfaces:

ai.djl.training.dataset.Dataset
```
public class AmesRandomAccess
extends CsvDataset
```
Ames house pricing dataset from https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data.
80 features
Training Set: 1460 Records
Test Set: 1459 Records
Can enable/disable features Set one hot vector for categorical variables

Nested Class Summary

Nested Classes
Modifier and Type Class Description

static class AmesRandomAccess.Builder
A builder to construct a AmesRandomAccess.
- Nested classes/interfaces inherited from class ai.djl.basicdataset.tabular.CsvDataset
  CsvDataset.CsvBuilder<T extends CsvDataset.CsvBuilder<T>>, CsvDataset.Feature, CsvDataset.Featurizer
- Nested classes/interfaces inherited from class ai.djl.training.dataset.RandomAccessDataset
  ai.djl.training.dataset.RandomAccessDataset.BaseBuilder<T extends ai.djl.training.dataset.RandomAccessDataset.BaseBuilder<T>>
- Nested classes/interfaces inherited from interface ai.djl.training.dataset.Dataset
  ai.djl.training.dataset.Dataset.Usage

Field Summary
- Fields inherited from class ai.djl.basicdataset.tabular.CsvDataset
  csvFormat, csvRecords, csvUrl, features, labels
- Fields inherited from class ai.djl.training.dataset.RandomAccessDataset
  dataBatchifier, device, labelBatchifier, limit, pipeline, prefetchNumber, sampler, targetPipeline

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static AmesRandomAccess.Builder`	`builder()`	Creates a builder to build a `AmesRandomAccess`.
`void`	`prepare(ai.djl.util.Progress progress)`

Methods inherited from class ai.djl.basicdataset.tabular.CsvDataset
availableSize, get, getColumnNames, toNDList

Methods inherited from class ai.djl.training.dataset.RandomAccessDataset
getData, getData, getData, getData, randomSplit, size, subDataset, toArray

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface ai.djl.training.dataset.Dataset
prepare

- Method Detail
  - prepare
```
public void prepare(ai.djl.util.Progress progress)
             throws java.io.IOException
```
    Specified by:
    
    prepare in interface ai.djl.training.dataset.Dataset
    
    Overrides:
    
    prepare in class CsvDataset
    
    Throws:
    
    java.io.IOException
  - builder
```
public static AmesRandomAccess.Builder builder()
```
    Creates a builder to build a AmesRandomAccess.
    
    Returns:
    
    a new builder