Mamta Kumari

Hi Karl, I am using Feast==0.19.4. I tried removing the multi-hot categorical feature column(for example: search_term, one of the examples being ['tokkio','merlin','riva documentation','nvbot implementation']) and I was able to materialize...

@karlhigley and @rnyak I tested it out with my correct data today. I am attaching all screenshots for visibility. With the list of strings feature(for ex. ['sipl_camera', 'build qnx', 'yuv',...

So going back to our conversation in the past, I used `INT32_LIST` dtype for this list type column instead of `INT32` and I was able to materialize as well as...

@karlhigley here is the output for the retrieval model `{'search': (TensorSpec(shape=(727237, 1), dtype=tf.int32, name='search_1'), TensorSpec(shape=(16384, 1), dtype=tf.int32, name='search_2')), 'userid': TensorSpec(shape=(16384, 1), dtype=tf.int32, name='userid'), 'contentid': TensorSpec(shape=(16384, 1), dtype=tf.int32, name='contentid'), 'eventtype': TensorSpec(shape=(16384,...

@karlhigley Hi Karl, I just reached out to you on slack with file links and follow up questions. Please let me know.

Currently getting error at the step where we export graph as ensemble on search column.  ![Screen Shot 2022-08-01 at 3 39 11...

@karlhigley Hi Karl, renaming the column from `search` to `search_1` didn't help in resolving the error that I get currently while exporting the graph as ensemble. It now complains of...