The LeastSquaresTrainer type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | LeastSquaresTrainer |
Creates a LeastSquaresTrainer.
|
Methods
| Name | Description | |
|---|---|---|
| Equals | (Inherited from Object.) |
 | Finalize |
Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
(Inherited from Object.) |
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| MemberwiseClone |
Creates a shallow copy of the current Object.
(Inherited from Object.) |
| ToString | (Inherited from Object.) |
| Train |
Trains the neural network using supplied training patterns.
|
Properties
| Name | Description | |
|---|---|---|
 | EpochNumber |
The epoch number for the trainer.
|
 | ErrorGradient |
The value of the gradient of the error function with respect
to the Weights.
|
| ErrorStatus |
The error status from the trainer.
|
| ErrorValue |
The final value of the error function.
|
| FalseConvergenceTolerance |
The false convergence tolerance.
|
| GradientTolerance |
The gradient tolerance.
|
| InitialTrustRegion |
The initial trust region.
|
| MaximumStepsize |
The maximum step size.
|
| MaximumTrainingIterations |
The maximum number of iterations used by the nonlinear least squares
solver.
|
| ParallelMode |
The trainer to be used in multi-threaded EpochTainer.
|
| RelativeTolerance |
The relative tolerance.
|
| StepTolerance |
The step tolerance used to step between Weights.
|
