How Does AutoML work and how to see the hyperparameter tuning?
Hello,
How does AutoML work, does it always choose the same hyperparameters for each ML algorithm or does it tune based on the data in the model? Also, if I want to report the hyperparameter tuning for a paper, how can I do so after using autoML?
Thank You.
How does AutoML work, does it always choose the same hyperparameters for each ML algorithm or does it tune based on the data in the model? Also, if I want to report the hyperparameter tuning for a paper, how can I do so after using autoML?
Thank You.
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Hi @DennisBaloglu,
After run automodel you can view each model with theri processes, including the parameters optimization part. You can read it or change it.
regards
Thank you, can you tell me the process of clicks to get to the hyperparameters? For instance "click 1" --> "click 2" --> etc...
I found it. However, in the operator description it only gives me the default values. In AutoML does it always use these default parameters? If not, how can I check what was actually used in the model?
Hi @DennisBaloglu,
When the automodel finish you can see these buttons in each created models
When the automodel finish you can see these buttons in each created models
Clicking here you launch a complete proccess. Then if you dive into the operator you can see the parameters used by each one in this particular model.
Regards
Got it, thanks!
Great
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