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# DINGO use cases
Let's assemble all of the planned use cases of the dingo code below.,
separated into training and inference. This should be useful input for
designing the classes and their inte…
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# Goal
As a machine learning developer, I want to embed automated methods for machine learning, so that I can run systematic processes on raw data and select relevant models for processing data.
As a…
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Hi @yzhao062 ,
I have seen the code of XGBOD, it is using XGBClassifier internally(wrapper written using it) and the same default parameters.
So what would be the difference if I use XGBOD over X…
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Hi! Thanks in advance.
I am using optuna for hyperparameter tuning, but each fit is incredibly slow (this is true outside of optuna just using standard parameters). One fit will often take 2 hours…
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add a section on hyperparameter tuning since classical models were used with default hyperparameters
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First, thanks for the code!
Second, do you plan to add the code to the second stage(training and using the importance map) soon? Do you have a version you can share right now?
Thanks in advance
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Had someone show me this error on their dataset and I was able to duplicate it with some existing data in qiita. Just trying to run a random forest sample classifier on one categorical data with a non…
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Hi All,
I would like to implement in LibRecommender BPR with Importance Sampling.
- http://staff.ustc.edu.cn/~liandefu/paper/pris.pdf
I have already modified the Sampling function.
What should i …
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Design complex UML Diagrams:
- Use Case Diagrams for interactions between doctors, patients, and admins.
- Class Diagrams for system structure, focusing on entities like Patient, Doctor, Appointment…
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