public class AmesRandomAccess extends CsvDataset
80 features
Training Set: 1460 Records
Test Set: 1459 Records
Can enable/disable features Set one hot vector for categorical variables
Modifier and Type | Class and Description |
---|---|
static class |
AmesRandomAccess.Builder
A builder to construct a
AmesRandomAccess . |
CsvDataset.CsvBuilder<T extends CsvDataset.CsvBuilder<T>>, CsvDataset.Feature, CsvDataset.Featurizer
csvFormat, csvRecords, csvUrl, features, labels
Modifier and Type | Method and Description |
---|---|
static AmesRandomAccess.Builder |
builder()
Creates a builder to build a
AmesRandomAccess . |
void |
prepare(ai.djl.util.Progress progress) |
availableSize, get, getColumnNames, toNDList
getData, getData, getData, getData, randomSplit, size, subDataset, toArray
public void prepare(ai.djl.util.Progress progress) throws java.io.IOException
prepare
in interface ai.djl.training.dataset.Dataset
prepare
in class CsvDataset
java.io.IOException
public static AmesRandomAccess.Builder builder()
AmesRandomAccess
.