tfx

问题 The bounty expires in 6 days . Answers to this question are eligible for a +50 reputation bounty. Sarah Messer is looking for a canonical answer : TFX BulkInferrer seems designed to work with database-scale prediction, but that's not the output format. What is the recommended approach when making millions of predictions at once? I'm very new to TFX, but have an apparently-working ML Pipeline which is to be used via BulkInferrer. That seems to produce output exclusively in Protobuf format, but

问题 The bounty expires in 6 days . Answers to this question are eligible for a +50 reputation bounty. Sarah Messer is looking for a canonical answer : TFX BulkInferrer seems designed to work with database-scale prediction, but that's not the output format. What is the recommended approach when making millions of predictions at once? I'm very new to TFX, but have an apparently-working ML Pipeline which is to be used via BulkInferrer. That seems to produce output exclusively in Protobuf format, but

问题 The bounty expires in 6 days . Answers to this question are eligible for a +50 reputation bounty. Sarah Messer is looking for a canonical answer : TFX BulkInferrer seems designed to work with database-scale prediction, but that's not the output format. What is the recommended approach when making millions of predictions at once? I'm very new to TFX, but have an apparently-working ML Pipeline which is to be used via BulkInferrer. That seems to produce output exclusively in Protobuf format, but

问题 I'm ready to try out my TensorFlow Serving REST API based on a saved model, and was wondering if there was an easy way to generate the JSON instances (row-based) or inputs (columnar) I need to send with my request. I have several thousand features in my model and I would hate to manually type in a JSON. Is there a way I can use existing data to come up with serialized data I can throw at the predict API? I'm using TFX for the entire pipeline (incl. tf.Transform), so I'm not sure if there is a

问题 I'm ready to try out my TensorFlow Serving REST API based on a saved model, and was wondering if there was an easy way to generate the JSON instances (row-based) or inputs (columnar) I need to send with my request. I have several thousand features in my model and I would hate to manually type in a JSON. Is there a way I can use existing data to come up with serialized data I can throw at the predict API? I'm using TFX for the entire pipeline (incl. tf.Transform), so I'm not sure if there is a