关于“Agent Platform:使用 AutoML 预测贷款风险”的评价
80386 条评价
Kunal M. · 已于 over 3 years前审核
Kunal M. · 已于 over 3 years前审核
Morum J. · 已于 over 3 years前审核
Pramod K. · 已于 over 3 years前审核
Great!
Leandro S. · 已于 over 3 years前审核
Paulina C. · 已于 over 3 years前审核
Manuel Eiras C. · 已于 over 3 years前审核
Rehan N. · 已于 over 3 years前审核
Model wytrenował się 5 minut przed końcem czasu, nie było jak wykonać ćwiczeń.
Joanna L. · 已于 over 3 years前审核
Muthazhagan B. · 已于 over 3 years前审核
ss
Girija Sankar P. · 已于 over 3 years前审核
KRUNAL K. · 已于 over 3 years前审核
Sapna S. · 已于 over 3 years前审核
Naman N. · 已于 over 3 years前审核
Kostiantyn L. · 已于 over 3 years前审核
Pârcălab A. · 已于 over 3 years前审核
Vivekanand B. · 已于 over 3 years前审核
Naman N. · 已于 over 3 years前审核
Andres Felipe V. · 已于 over 3 years前审核
Bushra T. · 已于 over 3 years前审核
Eduardo V. · 已于 over 3 years前审核
Sruthi U. · 已于 over 3 years前审核
What is an endpoint and what do they do in this lab? How do I go from a terminal window under the console to the editor to alter the JSON file and back without needing to redo the token and create endpoint again in the final steps? I understand changing the input data to see the response of different output as a test, but that is less valuable to me than having a model complete and seeing it run in the console, or using the endpoint output in a report tool to feed a chart etc. How about excluding the final steps of altering the JSON file, and instead having a very simple model be built and used by the student? I would rather have seen it built for 1000 rows and 4 columns, then allow it to run on 10 new rows of data. After doing the course, I have read about it happening, but have not actually done it yet. Why does it take an hour to build a model based on 2000 rows of data? (if the answer involves resources for a training environment, that reflects on your provision rather than user expectations). What is the smallest dataset that will be adequate to use in a 1.5 hour lab, and why not do that?
Michael F. · 已于 over 3 years前审核
Pedro P. · 已于 over 3 years前审核
Chenhui Z. · 已于 over 3 years前审核
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