Mode Infrerence/Prediction

Model inference, also known as model prediction, is the process of using a trained machine learning model to make predictions or decisions based on new data. Inference involves providing the model with input data and using the model to generate output predictions or decisions based on the patterns and relationships learned during training. Model inference is the final step in the machine learning process, and it is the phase in which the model is used to generate useful insights or solve practical problems.

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