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ExpectationMaximizationTObservation Properties

The ExpectationMaximizationTObservation generic type exposes the following members.

Properties
  NameDescription
Public propertyCoefficients
Gets the current coefficient values.
Public propertyConvergence
Gets or sets convergence properties for the expectation-maximization algorithm.
Public propertyDistributions
Gets the current component distribution values.
Public propertyGamma
Gets the responsibility of each input vector when estimating each of the component distributions, in the last iteration.
Public propertyInnerOptions
Gets or sets the fitting options to be used when any of the component distributions need to be estimated from the data.
Public propertyParallelOptions
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.)
Public propertyToken
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.)
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