machine learning - Custom model evaluation method same as Tensorflow extended(Tfma.EvalConfig)

Question

I want to develop a model evaluation class for my project which can work as tfma.evalconfig method. As tfma in tfx works only for tensor flow library.

So I want to develop custom model evaluation method which can used for evaluation in other models like XGBoost, Random Forest, Linear Regression models.

Can anyone please share me any ideas on how can I approach for this problem.

Thanks in advance.

question from:https://stackoverflow.com/questions/65662285/custom-model-evaluation-method-same-as-tensorflow-extendedtfma-evalconfig

Answer 1

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