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ExpectationMaximizationTObservation Properties |
The ExpectationMaximizationTObservation generic type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Coefficients |
Gets the current coefficient values.
|
| Convergence |
Gets or sets convergence properties for
the expectation-maximization algorithm.
|
| Distributions |
Gets the current component distribution values.
|
| Gamma |
Gets the responsibility of each input vector when estimating
each of the component distributions, in the last iteration.
|
| InnerOptions |
Gets or sets the fitting options to be used
when any of the component distributions need
to be estimated from the data.
|
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) |
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |
See Also