There are 2898 nodes that can be used as successor for a node with an output port of type Table.
Uses KNFST-model to calculate Novelty Scores for new data points
Scores the novelty of test instances based on a local KNFST model trained with the k nearest neighbors in kernel space.
Calculates the entropy uncertainty score of a class probability distribution.
Calculates the least confident uncertainty score of a class probability distribution.
Calculates the margin uncertainty score for a class probability distribution.
Calculates the variance uncertainty score of a class probability distribution.
Calculates the variance of a class probability distribution.
Returns the n rows with the highest or lowest values in a specific column.
This node allows the user to manually assign labels to objects.
Learns a generative label model from the provided noisy label sources.
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