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[Feature] fit_transform ParameterLearning #77

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opened 2 years ago by AlessandroBregoli · 0 comments
AlessandroBregoli commented 2 years ago (Migrated from github.com)
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Description

Add the method fit_transform to ParameterLearning. This method learn the parameter of a given node and update the network accordingly.

Acceptance Criteria

  • Add the method fit_transform

Checklist

  • fn fit_transform<T: process::NetworkProcess>( &self, net: &mut T, dataset: &tools::Dataset, node: usize)

(Optional) Extra info

It could be usefull to add a method for substituting parameters inside a NetworkProcess

An alternative version of fit_transorm can be:

fn fit_transform<T: process::NetworkProcess>( &self, net: T, dataset: &tools::Dataset, node: usize) -> T

## Description Add the method fit_transform to ParameterLearning. This method learn the parameter of a given node and update the network accordingly. ## Acceptance Criteria * Add the method fit_transform ## Checklist * [ ] `fn fit_transform<T: process::NetworkProcess>( &self, net: &mut T, dataset: &tools::Dataset, node: usize)` ## (Optional) Extra info It could be usefull to add a method for substituting parameters inside a `NetworkProcess` An alternative version of fit_transorm can be: `fn fit_transform<T: process::NetworkProcess>( &self, net: T, dataset: &tools::Dataset, node: usize) -> T`
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Reference: unimib-thesis-mad/reCTBN#77
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