Package ai.djl.basicdataset.tabular
Class DailyDelhiClimate
- java.lang.Object
-
- ai.djl.training.dataset.RandomAccessDataset
-
- ai.djl.basicdataset.tabular.TabularDataset
-
- ai.djl.basicdataset.tabular.CsvDataset
-
- ai.djl.basicdataset.tabular.DailyDelhiClimate
-
- All Implemented Interfaces:
ai.djl.training.dataset.Dataset
public class DailyDelhiClimate extends CsvDataset
Daily Delhi climate dataset from https://www.kaggle.com/datasets/sumanthvrao/daily-climate-time-series-data.The Dataset is fully dedicated for the developers who want to train the model on Weather Forecasting for Indian climate. This dataset provides data from 1st January 2013 to 24th April 2017 in the city of Delhi, India. The 4 parameters here are meantemp, humidity, wind_speed, meanpressure.
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description static class
DailyDelhiClimate.Builder
A builder to construct aDailyDelhiClimate
.-
Nested classes/interfaces inherited from class ai.djl.basicdataset.tabular.CsvDataset
CsvDataset.CsvBuilder<T extends CsvDataset.CsvBuilder<T>>
-
Nested classes/interfaces inherited from class ai.djl.basicdataset.tabular.TabularDataset
TabularDataset.BaseBuilder<T extends TabularDataset.BaseBuilder<T>>
-
-
Field Summary
-
Fields inherited from class ai.djl.basicdataset.tabular.CsvDataset
csvFormat, csvRecords, csvUrl
-
Fields inherited from class ai.djl.basicdataset.tabular.TabularDataset
features, labels
-
-
Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static DailyDelhiClimate.Builder
builder()
Creates a builder to build aDailyDelhiClimate
.void
prepare(ai.djl.util.Progress progress)
-
Methods inherited from class ai.djl.basicdataset.tabular.CsvDataset
availableSize, getCell, getColumnNames
-
Methods inherited from class ai.djl.basicdataset.tabular.TabularDataset
get, getFeatures, getFeatureSize, getLabels, getLabelSize, getRowFeatures, matchingTranslatorOptions, prepareFeaturizers
-
Methods inherited from class ai.djl.training.dataset.RandomAccessDataset
getData, getData, getData, getData, newSubDataset, newSubDataset, randomSplit, size, subDataset, subDataset, subDataset, subDataset, toArray
-
-
-
-
Method Detail
-
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
-
builder
public static DailyDelhiClimate.Builder builder()
Creates a builder to build aDailyDelhiClimate
.- Returns:
- a new builder
-
-