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docs/proposals/parameter-distribution.md

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@@ -41,7 +41,7 @@ A Data Scientist requires Katib to support multiple hyperparameter distributions
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- Note:
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In Nevergrad, parameter types like p.Scalar, p.Log, and p.Choice are mapped to corresponding Hyperopt search space definitions like hp.uniform, hp.loguniform, and hp.choice using internal functions to convert parameter bounds and distributions.
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In `Nevergrad`, parameter types like `p.Scalar`, `p.Log`, and `p.Choice` are mapped to corresponding `Hyperopt` search space definitions like `hp.uniform`, `hp.loguniform`, and `hp.choice` using internal functions to convert parameter bounds and distributions.
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## API Design
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### FeasibleSpace
@@ -129,7 +129,7 @@ message FeasibleSpace {
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string min = 2; /// Minimum Value
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repeated string list = 3; /// List of Values.
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string step = 4; /// Step for double or int parameter
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+ Distribution distribution = 4; // Distribution of the parameter.
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+ Distribution distribution = 4; // Distribution of the parameter.
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}
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```
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- Define the `Distribution` enum

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