Wikis
Info-nuggets to help anyone understand various concepts of MLOps, their significance, and how they are managed throughout the ML lifecycle.
LIME
LIME approach attempts to comprehend the model by varying the input of data samples and observing how the predictions change.
LIME (Local Interpretable Model Agnostic Explanations) puts together a surrogate model on a small dataset. The approach attempts to comprehend the model by varying the input of data samples and observing how the predictions change. LIME tweaks the feature values for a single data sample and tracks the impact on the output.
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