Advanced Visualizations with TensorFlow Data Validation Reviews

This comment in the notebook is not consistent with the "serving data": "We also have an INT value in our trip seconds, where our schema expected a FLOAT. By making us aware of that difference, TFDV helps uncover inconsistencies in the way the data is generated for training and serving. It's very easy to be unaware of problems like that until model performance suffers, sometimes catastrophically. It may or may not be a significant issue, but in any case this should be cause for further investigation. In this case, we can safely convert INT values to FLOATs, so we want to tell TFDV to use our schema to infer the type. Let's do that now." Actually no anomly is detected for "trip seconds" feature.

Giovanna S. · Reviewed 2 yıldan fazla ago

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Mariam N. · Reviewed 2 yıldan fazla ago

Neelkant N. · Reviewed 2 yıldan fazla ago

Csaba T. · Reviewed 2 yıldan fazla ago

It would be good to have a remainder to restart kernel after pip installing, and also errors mark it is also missing this library: pip install apache-beam[interactive]

Lorrain G. · Reviewed 2 yıldan fazla ago

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Manuel D G. · Reviewed 2 yıldan fazla ago