object Classifier
The Classifier object provides methods for paritioning the downsampling the
the dataset.
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- def downsample(y: VectoI, ns: Int): Array[Int]
Downsample to reduce imbalance of classes, by returning the group indices and the probability for each group.
Downsample to reduce imbalance of classes, by returning the group indices and the probability for each group.
- y
the classification/response vector
- ns
the number of instances in downsample
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- val hp: HyperParameter
hyper-parameters for classifiers
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- def partition(y: VectoI): (Array[Set[Int]], VectoI)
Partition the dataset into groups, e.g., to set up for downsampling, by returning each group's indices and frequency counts.
Partition the dataset into groups, e.g., to set up for downsampling, by returning each group's indices and frequency counts. Instances with the same classification 'y(i)' will be found in the 'i'th group.
- y
the classification/response vector
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