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Commit 2f4a71b

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update changelog
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‎CHANGELOG

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- Now you can use AILS to estimate parameters of NARMAX models (and variants) using a multiobjective approach.
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- AILS can be accessed using `from sysidentpy.multiobjective_parameter_estimation import AILS`
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- See the docs for a more in depth explanation of how to use AILS.
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- This feature is related to Issue #101
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- This feature is related to Issue #101. This work is the result of an undergraduate research conducted by Gabriel Bueno Leandro under the supervision of Samir Milani Martins and Wilson Rocha Lacerda Junior.
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- API Change: `regressor_code` variable was renamed as `enconding` to avoid using the same name as the method in `narmax_tool` `regressor_code` method.
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‎docs/changelog/changelog.md

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- Now you can use AILS to estimate parameters of NARMAX models (and variants) using a multiobjective approach.
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- AILS can be accessed using `from sysidentpy.multiobjective_parameter_estimation import AILS`
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- See the docs for a more in depth explanation of how to use AILS.
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- This feature is related to Issue #101
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- This feature is related to Issue #101. This work is the result of an undergraduate research conducted by Gabriel Bueno Leandro under the supervision of Samir Milani Martins and Wilson Rocha Lacerda Junior.
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- Several new methods were implemented to get the new feature and you can check all of it in sysidentpy -> multiobjective_parameter_estimation.
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- API Change: `regressor_code` variable was renamed as `enconding` to avoid using the same name as the method in `narmax_tool` `regressor_code` method.

‎docs/changelog/changelog/changelog.md

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Original file line numberDiff line numberDiff line change
@@ -21,7 +21,7 @@ template: overrides/main.html
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- Now you can use AILS to estimate parameters of NARMAX models (and variants) using a multiobjective approach.
2222
- AILS can be accessed using `from sysidentpy.multiobjective_parameter_estimation import AILS`
2323
- See the docs for a more in depth explanation of how to use AILS.
24-
- This feature is related to Issue #101
24+
- This feature is related to Issue #101. This work is the result of an undergraduate research conducted by Gabriel Bueno Leandro under the supervision of Samir Milani Martins and Wilson Rocha Lacerda Junior.
2525
- Several new methods were implemented to get the new feature and you can check all of it in sysidentpy -> multiobjective_parameter_estimation.
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- API Change: `regressor_code` variable was renamed as `enconding` to avoid using the same name as the method in `narmax_tool` `regressor_code` method.

‎docs/changelog/changelog/index.html

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