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static void | GenerateFunctionTrainingSamples (double lowerInputLimit, double upperInputLimit, double step, IRealFunction function, ref SampledDataSet trainingData) |
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static IRealFunction | CreateFunction (string equation) |
| Creates a function loader and uses it for dynamic definition of functions. More...
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static int | CalculateNumSteps (double lowLimit, double highLimit, double steps) |
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static IVector[][] | GenerateInputParameters2D (double step, double xMin, int xNumSteps, double yMin, int yNumSteps) |
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static IVector[][] | CalculateFunction2D (IVector[][] inputPArameters) |
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static IVector[][] | TrainingPoints2D (IVector[][] functionCoordinates, int numTrainingPoints, bool random) |
| Calculate desired number of training poits from data set in random or regullary order. More...
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static IVector[][] | TrainingPoints2D (IVector[][] functionCoordinates, int numXTrainingPoints, int numYTrainingPoints, bool random) |
| Calculate desired number of training poits from data set in random or regullary order. More...
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static void IG.Neural.TestFunctions.GenerateFunctionTrainingSamples |
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double |
lowerInputLimit, |
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double |
upperInputLimit, |
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double |
step, |
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IRealFunction |
function, |
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ref SampledDataSet |
trainingData |
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) |
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inlinestatic |
static IRealFunction IG.Neural.TestFunctions.CreateFunction |
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string |
equation | ) |
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inlinestatic |
static void IG.Neural.TestFunctions.GenerateInputParameters |
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double |
lowerInputLimit, |
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double |
step, |
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int |
numSteps, |
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ref IVector[] |
inputParameters |
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) |
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inlinestaticprivate |
static int IG.Neural.TestFunctions.CalculateNumSteps |
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double |
lowLimit, |
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double |
highLimit, |
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double |
steps |
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) |
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inlinestatic |
static IVector [][] IG.Neural.TestFunctions.GenerateInputParameters2D |
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double |
step, |
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double |
xMin, |
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int |
xNumSteps, |
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double |
yMin, |
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int |
yNumSteps |
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) |
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inlinestatic |
- Parameters
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step | Step for x and y axes. |
xMin | Minimum on x axes. |
xNumSteps | Number of steps on x axes. |
yMin | Minimum on y axes. |
yNumSteps | Number of steps on y axes. |
- Returns
- Returns points InputParameters2D[y][x]
static IVector [][] IG.Neural.TestFunctions.CalculateFunction2D |
( |
IVector |
inputPArameters[][] | ) |
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inlinestatic |
static IVector [][] IG.Neural.TestFunctions.TrainingPoints2D |
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IVector |
functionCoordinates[][], |
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int |
numTrainingPoints, |
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bool |
random |
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) |
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inlinestatic |
Calculate desired number of training poits from data set in random or regullary order.
- Parameters
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functionCoordinates | Data set. |
numTrainingPoints | Number of training points for x and y axses. |
- Returns
- Training points.
static IVector [][] IG.Neural.TestFunctions.TrainingPoints2D |
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IVector |
functionCoordinates[][], |
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int |
numXTrainingPoints, |
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int |
numYTrainingPoints, |
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bool |
random |
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) |
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inlinestatic |
Calculate desired number of training poits from data set in random or regullary order.
- Parameters
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functionCoordinates | Data set. |
numXTrainingPoints | Number of training points for x axses. |
numYTrainingPoints | Number of training points for y axses. |
- Returns
- Training points.
The documentation for this class was generated from the following file:
- shelldev/lib/extended/LibShellExt/highlevel_and_testing/Testing_Development/TestFunctions.cs