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 over 2 years ago

Abdul Q. · Reviewed over 2 years ago

maziyar a. · Reviewed over 2 years ago

Wagner S. · Reviewed over 2 years ago

Daniel L. · Reviewed over 2 years ago

Suresh M. · Reviewed over 2 years ago

Ritesh S. · Reviewed over 2 years ago

Tannerific V. · Reviewed over 2 years ago

Shubham J. · Reviewed over 2 years ago

Rhon Joshua C. · Reviewed over 2 years ago

Gilles K. · Reviewed over 2 years ago

Ari-Matti V. · Reviewed over 2 years ago

pravalika a. · Reviewed over 2 years ago

Mariam N. · Reviewed over 2 years ago

Neelkant N. · Reviewed over 2 years ago

Csaba T. · Reviewed over 2 years 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 over 2 years ago

MAHAK G. · Reviewed over 2 years ago

Pawel F. · Reviewed over 2 years ago

SAKSHI A. · Reviewed over 2 years ago

Ken G. · Reviewed over 2 years ago

Nitin P. · Reviewed over 2 years ago

Bogusław K. · Reviewed over 2 years ago

JEU R. · Reviewed over 2 years ago

Manuel D G. · Reviewed over 2 years ago