The TrainingData Class
Learn how the TrainingData class enables data loading, partitioning, and testing with hyperparameters for future algorithm implementations.
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The TrainingData class has listed two subclasses of Sample objects. The KnownSample and UnknownSample can be implemented as extensions to a common parent class, Sample.
Methods
The TrainingData class also has a list with Hyperparameter instances. This class can have simple, direct references to previously defined classes.
This class has two methods that initiate the processing:
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The
load()method reads raw data and partitions it into training data and test data. Both of these are essentiallyKnownSampleinstances with different purposes. The training subset is for evaluating the k-NN algorithm; the testing subset is for determining how well thekhyperparameter is ...