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 מעל 2 שנים ago

Abdul Q. · Reviewed מעל 2 שנים ago

maziyar a. · Reviewed מעל 2 שנים ago

Wagner S. · Reviewed מעל 2 שנים ago

Daniel L. · Reviewed מעל 2 שנים ago

Suresh M. · Reviewed מעל 2 שנים ago

Ritesh S. · Reviewed מעל 2 שנים ago

Tannerific V. · Reviewed מעל 2 שנים ago

Shubham J. · Reviewed מעל 2 שנים ago

Rhon Joshua C. · Reviewed מעל 2 שנים ago

Gilles K. · Reviewed מעל 2 שנים ago

Ari-Matti V. · Reviewed מעל 2 שנים ago

pravalika a. · Reviewed מעל 2 שנים ago

Mariam N. · Reviewed מעל 2 שנים ago

Neelkant N. · Reviewed מעל 2 שנים ago

Csaba T. · Reviewed מעל 2 שנים 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 מעל 2 שנים ago

MAHAK G. · Reviewed מעל 2 שנים ago

Pawel F. · Reviewed מעל 2 שנים ago

SAKSHI A. · Reviewed מעל 2 שנים ago

Ken G. · Reviewed מעל 2 שנים ago

Nitin P. · Reviewed מעל 2 שנים ago

Bogusław K. · Reviewed מעל 2 שנים ago

JEU R. · Reviewed מעל 2 שנים ago

Manuel D G. · Reviewed מעל 2 שנים ago