ML Model Monitoring: Practical guide to boosting model performance
What is ML Model Monitoring? Machine learning model monitoring measures of how well your machine learning model performs a task...
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What is Raw Inputs in Machine Learning
Features don’t appear out of thin air – they are usually constructed using various transformations on raw data, that was either part of a data-set or received at runtime from a user.
We refer to that raw data as the raw_inputs of a model.
For example, your dataset might contain a column with state names – you will then have some preprocessing code convert that raw_input to a feature using one-hot encoding.
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