Disallow attaching data with NaN or Inf values #4004
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Summary: NaN or Inf values in the training data will lead to errors within the modeling layer. By checking for this in `Experiment.attach_data`, we bring the error closer to the source and let the user correct it before the faulty data makes it deeper into the stack. Differential Revision: D77892970
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Summary: NaN or Inf values in the training data will lead to errors within the modeling layer. By checking for this in
Experiment.attach_data, we bring the error closer to the source and let the user correct it before the faulty data makes it deeper into the stack.Differential Revision: D77892970