C# Class Microsoft.MSR.CNTK.Extensibility.Managed.CSEvalClient.Program

Program for demonstrating how to run model evaluations using the CLIWrapper

Public Methods

Method	Description
EvaluateImageInputUsingFeatureVector ( ) : List	This method shows how to evaluate a trained image classification model, with explicitly created feature vectors.
EvaluateImageInputUsingImageApi ( ) : List	This method shows how to evaluate a trained image classification model, where the creation of the CNTK feature vector is happening in native code inside the EvalWrapper.

Private Methods

Method	Description
CompareImageApiResults ( List outputs1, List outputs2 ) : void
EvaluateExtendedNetworkSingleLayerNoInput ( ) : void	Evaluates an extended network (without a model and without input) and obtains a single layer output
EvaluateModelMultipleLayers ( ) : void	Evaluates a trained model and obtains multiple layers output (including hidden layer) This example requires the 01_OneHidden trained model
EvaluateModelSingleLayer ( ) : void	Evaluates a trained model and obtains a single layer output This example requires the 01_OneHidden trained model
EvaluateMultipleModels ( ) : void	Evaluates multiple instances of a model in the same process. Although all models execute concurrently (multiple tasks), each model is evaluated with a single task at a time.
GetDictionary ( string key, int size, int maxValue ) : List>.Dictionary	Creates a Dictionary for input entries or output allocation
GetFloatArray ( int size, int maxValue ) : List	Creats a list of random numbers
Main ( string args ) : void	Program entry point
OnCNTKException ( CNTKException ex ) : void	Handle CNTK exceptions.
OnGeneralException ( Exception ex ) : void	Handle general exceptions.
OutputResults ( Dictionary outputs ) : void	Dumps the output to the console
OutputResults ( string layer, List values ) : void	Dumps the output of a layer to the console
ThrowIfFileNotExist ( string filePath, string errorMsg ) : void	Checks whether the file exists. If not, write the error message on the console and throw FileNotFoundException.

Method Details

EvaluateImageInputUsingFeatureVector() public static method

This method shows how to evaluate a trained image classification model, with explicitly created feature vectors.

public static EvaluateImageInputUsingFeatureVector ( ) : List
return	List

EvaluateImageInputUsingImageApi() public static method

This method shows how to evaluate a trained image classification model, where the creation of the CNTK feature vector is happening in native code inside the EvalWrapper.

public static EvaluateImageInputUsingImageApi ( ) : List
return	List