I have designed a training model for the breast cancer dataset using floating-point multipliers and adders (adder tree)by storing patient data and weight value for each feature in BRAM for further processing. Some 20% of data is kept stored in the BRAM for testing. My doubt is how to pass testing data to the trained model. I have calculated the weight value for each feature using python script and which is the same for all patients. Please help me in this regard. If I am following the wrong method please suggest me.
Hello. Thak you for your question.
I cannot answer you for your question because i am a surgeon. The field of biology is not my hobby.
You must ask this question to biological researcher.
Hello. Try to model it in Matlab-simulink environment, then change to System Generator model and simulate it. If it works, then do hardware in the loop test.
Thank you sir for your suggestion, My question is how to verify the SVM training model with testing data for FPGA implementation. I have stored testing data in BRAM.
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