This program creates a classifier neural network model. The program outputs the predicted values and confidence of prediction in a table format. The model is run on magnitude and phase of collected CSI data.
The most up-to-date code is located in: csi_model7.py
To run this model locally, create a virtual environment and execute the file using the command 'python csi_model7.py’.
This message prints every time the program executes:
tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags. 2021-11-06 12:59:55.263105: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
This is to be expected. This message describes some optimization capabilities of Tensorflow. If this creates an issue, I can find a way to suppress the message. For more information, check this out: https://stackoverflow.com/questions/65298241/what-does-this-tensorflow-message-mean-any-side-effect-was-the-installation-su