Package ai.djl.basicdataset.tabular
Class AmesRandomAccess
- java.lang.Object
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- ai.djl.training.dataset.RandomAccessDataset
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- ai.djl.basicdataset.tabular.TabularDataset
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- ai.djl.basicdataset.tabular.CsvDataset
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- ai.djl.basicdataset.tabular.AmesRandomAccess
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- 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
Call
AmesRandomAccess.Builder.addAllFeatures()
to include all features from the dataset. The label is a numeric column named "saleprice".
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
AmesRandomAccess.Builder
A builder to construct aAmesRandomAccess
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Nested classes/interfaces inherited from class ai.djl.basicdataset.tabular.CsvDataset
CsvDataset.CsvBuilder<T extends CsvDataset.CsvBuilder<T>>
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Nested classes/interfaces inherited from class ai.djl.basicdataset.tabular.TabularDataset
TabularDataset.BaseBuilder<T extends TabularDataset.BaseBuilder<T>>
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Field Summary
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Fields inherited from class ai.djl.basicdataset.tabular.CsvDataset
csvFormat, csvRecords, csvUrl
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Fields inherited from class ai.djl.basicdataset.tabular.TabularDataset
features, labels
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static AmesRandomAccess.Builder
builder()
Creates a builder to build aAmesRandomAccess
.void
prepare(ai.djl.util.Progress progress)
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Methods inherited from class ai.djl.basicdataset.tabular.CsvDataset
availableSize, getCell, getColumnNames
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Methods inherited from class ai.djl.basicdataset.tabular.TabularDataset
get, getFeatures, getFeatureSize, getLabels, getLabelSize, getRowFeatures, matchingTranslatorOptions, prepareFeaturizers
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Methods inherited from class ai.djl.training.dataset.RandomAccessDataset
getData, getData, getData, getData, newSubDataset, newSubDataset, randomSplit, size, subDataset, subDataset, subDataset, subDataset, toArray
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Method Detail
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prepare
public void prepare(ai.djl.util.Progress progress) throws java.io.IOException
- Specified by:
prepare
in interfaceai.djl.training.dataset.Dataset
- Overrides:
prepare
in classCsvDataset
- Throws:
java.io.IOException
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builder
public static AmesRandomAccess.Builder builder()
Creates a builder to build aAmesRandomAccess
.- Returns:
- a new builder
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