Catalano.MachineLearning.Dataset
Interface IDataset<T,U>
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- Type Parameters:
T- Input data type.U- Output data type.
- All Superinterfaces:
- java.io.Serializable
- All Known Implementing Classes:
- DatasetClassification, DatasetRegression
public interface IDataset<T,U> extends java.io.SerializableCommon interface to a dataset.
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method and Description DecisionVariable[]getDecisionVariables()Get the decision variables.TgetInput()Get the input data.UgetOutput()Get the output data.StatisticsDataset[]getStatistics()Get the statistics from the dataset.voidsetInput(T input, DecisionVariable[] variables)Set the input data.
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Method Detail
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getDecisionVariables
DecisionVariable[] getDecisionVariables()
Get the decision variables.- Returns:
- Decision Variables.
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getStatistics
StatisticsDataset[] getStatistics()
Get the statistics from the dataset.- Returns:
- Statistics.
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getInput
T getInput()
Get the input data.- Returns:
- Input data.
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setInput
void setInput(T input, DecisionVariable[] variables)
Set the input data.- Parameters:
input- Input.
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getOutput
U getOutput()
Get the output data.- Returns:
- Output data.
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