[This is preliminary documentation and is subject to change.]
The ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters type exposes the following members.
Constructors
Name | Description | |
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ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters(Boolean) |
Initializes a parameters class for a ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters
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ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters(ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters, Boolean) |
Initializes a parameters class for a ACSLevelProbabilitySettingEquation..::..ACSLevelProbabilitySettingEquationParameters and sets the values of the parameters to the values specified
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Methods
Name | Description | |
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Global_OnParameterChanged |
The event method used for performing global parameter changes
(Inherited from ClarionComponent..::..ClarionComponentParameters.) |
Fields
Name | Description | |
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a |
The constant A used in the level probability setting equation
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b |
The constant B used in the level probability setting equation
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c |
The constant C used in the level probability setting equation
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Properties
Name | Description | |
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A |
The constant A used in the level probability setting equation
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B |
The constant B used in the level probability setting equation
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C |
The constant C used in the level probability setting equation
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CONSTRAIN_OUTPUT |
Specifies whether the outputs should be constrained between 0 and 1
(Inherited from GenericEquation..::..GenericEquationParameters.) |
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ELIGIBILITY |
A switch that can be used to specify eligibility (in the absence of a more sophisticated eligibility method)
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IsGlobal |
Used to specify whether the particular instance of the parameters class is being used for global or local parameters
(Inherited from ClarionComponent..::..ClarionComponentParameters.) |
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MAX_ACTIVATION |
The maximum value for the activations in the input and output layers
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MIN_ACTIVATION |
The minimum value for the activations in the input and output layers
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