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I am trying to write a csv file (all columns are floats) to a tfrecords file then read them back out. All the examples I have seen pack the csv columns then feed it to sess.run() directly but I can't figure out out how to write the feature columns and label column to a tfrecord instead. How could I do this?

I am trying to write a csv file (all columns are floats) to a tfrecords file then read them back out. All the examples I have seen pack the csv columns then feed it to sess.run() directly but I can't figure out how to write the feature columns and label column to a tfrecord instead. How could I do this?

I am trying to write a csv file (all columns are floats) to a tfrecords file then read them back out. All the examples I have seen pack the csv then feed it to sess.run() directly but I can't figure out out how to write the feature columns and label column to a tfrecord instead. How could I do this?

I am trying to write a csv file (all columns are floats) to a tfrecords file then read them back out. All the examples I have seen pack the csv columns then feed it to sess.run() directly but I can't figure out out how to write the feature columns and label column to a tfrecord instead. How could I do this?

I am trying to become familiar with the tfrecords readers and writers by writing a csv file (all columns are floats) to rfrecords then reading them back out. Does anyone have some example code of how to do this?

I am trying to write a csv file (all columns are floats) to a tfrecords file then read them back out. All the examples I have seen pack the csv then feed it to sess.run() directly but I can't figure out out how to write the feature columns and label column to a tfrecord instead. How could I do this?