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I trained my data using cvboost algorithm. My input training data contains 10 samples and 100 features. I am writing it into csv file and i am loading from it into mldata object. Call train method using this. But variables from csv file is features+1 all the time which includes response. It trains good but when i call predict(), it throws the following error. PLease someone tell me how to resolve the problem. Here is the error: OpenCV Error: Bad argument (the input sample must be 1d floating-point vector with the same number of elements as the total number of variables or as the number of variables used for training) in predict,

What is the actual input for cvknearest algorithm of machine learning. Is it just a set of images or features from images. If so, how to extract features and store them in a csv file? Tell me about the inputs for the algorithm. I saw documentation and many other links but couldnt get a clear idea.

I have a frame whose resolution is to be increased. How can I add that particular Mat frame object to FrameSource object. And then i want to set it as input to the SuperResolution object. Is there a way to do it?