Closed philippabele closed 1 year ago
Hi @philippabele,
I tried to figure out what the output from the PR #37 means. I think I don't understand it fully. How far I can tell is autoML a Framework to lower the barrier for new programmers by automating the parameter study and the model selection.
The Output shows what's the best selected Model and the Preprocesses. But I don't know the models that are printed in the solution. I couldn't find a documentation of this output either or anything about, e.g., ETLearner.
The Output: https://github.com/RicoKursidem/dhbw-deep-groove-with-pytorch/blob/AutoML-Docs/docs/res/autoML.png
Could you explain in short form what I can see in the output? Is the ETLearner a learning type for a Neural Network? (Same for SVMLearner, KNNLearner and CBLearner)
Also: I thought that weights were the values of each node to multiply with the Input. How can the whole Model get only one weight.
ETLearner? That is really a good question. I don't know.
May you give the people from https://www.automl.org/ a call, write an e-mail or open a pull request at their github repository?
Feel free to start your journey to the solution :)
Hi @philippabele,
Ok, I will write them an e-mail about the outputs I received. If I receive an answer, I will add an explanation in the Documentation.
I have also a question how the Project will continue. The End Date is in Two weeks and I have 5 Exams to take. What is planned for the next two weeks? Is there something I should rework on the documentation?
How do we handle the end of the Project? Is there an End Meeting? The DHBW wants us to make a 1-minute video presenting the Project, do you want this Video too?
After closing #33 some documentation should be written down in the LaTeX documentation.