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A Product Sequence Predictor and Recommender Application made as a part of the Machine Learning Lab Course in the curriculum of B. Tech. Data Science & Engineering at Manipal Institute of Technology.
The repository includes implementations of quaternion networks and new QALE loss function, which calculates the error value based on the difference in angles between the result and the expected value. Procedures for performing the training and evaluation of predicting successive elements of a rotation sequence are also provided.
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