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Allow user to set weak learner parameters in adaboost. #15780

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wendycwong opened this issue Sep 21, 2023 · 1 comment
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Allow user to set weak learner parameters in adaboost. #15780

wendycwong opened this issue Sep 21, 2023 · 1 comment
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feature
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3.44.0.3

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@wendycwong
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wendycwong commented Sep 21, 2023 •
edited

To see how this is done, you can use either AutoML or Infogram implementation for reference.
@wendycwong wendycwong mentioned this issue Sep 21, 2023
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valenad1 added a commit that referenced this issue Nov 3, 2023
@valenad1
GH-15780 - weakLerner custom parameters is working for DRF
c00b6ad
valenad1 added a commit that referenced this issue Nov 7, 2023
@valenad1
GH-15780 - weakLerner custom parameters is working for DRF
b5ffd6a
valenad1 added a commit that referenced this issue Nov 7, 2023
@valenad1
GH-15780 - add all other weak_learners and ensure that parameters wil…
49c5497 
…l be loaded each time. The parameters are not immutable objects and training of the previous algorithm can change parameters and therefore affect next training if we didn't reload the parameters
This was referenced Nov 7, 2023
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Merged
valenad1 added a commit that referenced this issue Nov 9, 2023
@valenad1
GH-15780 - add weak_learner_parameters to API
f2e33b3
@valenad1 valenad1 added this to the 3.44.0.3 milestone Nov 9, 2023
valenad1 added a commit that referenced this issue Nov 13, 2023
@valenad1
GH-15780 - add DEEP_LEARNING and weak_learner_params to the AdaBoost …
252a3e1 
…documentation
@valenad1 valenad1 mentioned this issue Nov 13, 2023
Merged
valenad1 added a commit that referenced this issue Nov 21, 2023
@valenad1
GH-15780 - weakLerner custom parameters is working for DRF
6d93d30
valenad1 added a commit that referenced this issue Nov 21, 2023
@valenad1
GH-15780 - add all other weak_learners and ensure that parameters wil…
9712ad8 
…l be loaded each time. The parameters are not immutable objects and training of the previous algorithm can change parameters and therefore affect next training if we didn't reload the parameters
valenad1 added a commit that referenced this issue Nov 21, 2023
@valenad1
GH-15780 - add weak_learner_parameters to API
73003e8
valenad1 added a commit that referenced this issue Nov 21, 2023
@valenad1
GH-15780 - add DEEP_LEARNING and weak_learner_params to the AdaBoost …
05bcabc 
…documentation
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 set weak learner parameter (#15901)
77987a5 
* weakLerner custom parameters is working for DRF

* add all other weak_learners and ensure that parameters will be loaded each time. The parameters are not immutable objects and training of the previous algorithm can change parameters and therefore affect next training if we didn't reload the parameters
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 - add weak_learner_parameters to API
16c0bc6
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 - add DEEP_LEARNING and weak_learner_params to the AdaBoost …
4167c28 
…documentation
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 set weak learner parameter API (#15912)
90aa3cf 
* add weak_learner_parameters to API

* add documentation to weak_learner_params
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 set weak learner parameter api documentation (#15920)
97cccbf 
* add DEEP_LEARNING and  weak_learner_params to the AdaBoost documentation

* add nlearners default info
valenad1 added a commit that referenced this issue Nov 22, 2023
@valenad1
GH-15780 - change wording in the AdaBoost documentation
cc98917
@valenad1 valenad1 mentioned this issue Nov 22, 2023
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valenad1 added a commit that referenced this issue Nov 23, 2023
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GH-15780 - change wording in the AdaBoost documentation (#15949)
3a03e48
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Done

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