/// <summary>
/// Create basic MLFactory object with input and output variables
/// </summary>
/// <param name="dicMParameters"></param>
/// <returns></returns>
public static MLFactory CreateMLFactory(Dictionary <string, string> dicMParameters)
{
try
{
MLFactory f = new MLFactory();
//extract features and label strings and create CNTK input variables
var strFeatures = dicMParameters["features"];
var strLabels = dicMParameters["labels"];
var dynamicAxes = dicMParameters["network"].Contains("LSTM");
//create config streams
f.CreateIOVariables(strFeatures, strLabels, DataType.Float, dynamicAxes);
return(f);
}
catch (Exception)
{
throw;
}
}
