![]() | LogisticRegression Properties |
The LogisticRegression type exposes the following members.
Name | Description | |
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![]() | AllocatedMemory |
Gets or sets a memory address allocated by AllocMemory.
(Inherited from DisposableObject.) |
![]() | AllocatedMemorySize |
Gets or sets the byte length of the allocated memory
(Inherited from DisposableObject.) |
![]() | CvPtr |
Native pointer of OpenCV structure
(Inherited from DisposableCvObject.) |
![]() | DataHandle |
Gets or sets a handle which allocates using cvSetData.
(Inherited from DisposableObject.) |
![]() | Empty |
Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read
(Inherited from Algorithm.) |
![]() | IsDisposed |
Gets a value indicating whether this instance has been disposed.
(Inherited from DisposableObject.) |
![]() | IsEnabledDispose |
Gets or sets a value indicating whether you permit disposing this instance.
(Inherited from DisposableObject.) |
![]() | Iterations |
Number of iterations.
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![]() | LearningRate |
Learning rate
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![]() | MiniBatchSize |
Specifies the number of training samples taken in each step of Mini-Batch Gradient.
Descent. Will only be used if using LogisticRegression::MINI_BATCH training algorithm.
It has to take values less than the total number of training samples.
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![]() | Regularization |
Kind of regularization to be applied. See LogisticRegression::RegKinds.
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![]() | TermCriteria |
Termination criteria of the training algorithm.
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![]() | TrainMethod |
Kind of training method used. See LogisticRegression::Methods.
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