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Update Tune-User-Defined-Function.md (#562)
Added one more use case of tune.
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1. Your machine learning task is not one of the built-in tasks from `flaml.AutoML`.
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1. Your input cannot be represented as X_train + y_train or dataframe + label.
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1. You want to tune a function that may not even be a machine learning procedure.
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1. The optimization metric is not measurable via validation data only. For example, when you want to directly optimize a downstream application instead of a model accuracy metric.
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1. You need to tune a function that may not even be a machine learning procedure.
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## Basic Tuning Procedure
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