ranking icon indicating copy to clipboard operation
ranking copied to clipboard

Learning to Rank in TensorFlow

Results 90 ranking issues
Sort by recently updated
recently updated
newest added

### tensorflow version: 2.8.0, tensorflow-ranking version: 0.5.0 ### The Trace error ``` Traceback (most recent call last): File "keras_dnn_tfrecord.py", line 225, in app.run(main) File "/home/jack/Jupyter/tensorflow/.env/lib/python3.7/site-packages/absl/app.py", line 312, in run _run_main(main,...

my data like: qid feature_1 feature_2 feature_3 ... feature_i ... feature_n label 1 123 234 345 ... 56 ... 67 3 1 124 235 56 ... 55 ... 53 1...

Hello, I'm trying to upload a model generated with TFRanking (32Mb) to BigQuery which I saved like this: ```python signatures = { 'serving_default': make_keras_tft_serving_fn( ranker, tf_transform_output, context_cols, example_cols ).get_concrete_function( tf.TensorSpec(...

I would appreciate a lot if an example using TensorFlow Ranking Keras API that loads data in LibSVM format, and that it loads them in batches instead of in memory,...

Update `tf.keras.layers.experimental.preprocessing.StringLookup` with `tf.keras.layers.StringLookup`

Hello Team, Library versions: - TensorFlow 2.5.0 - TensorFlow Ranking 0.4.2 ## TL;DR: I trained two models (let's calls them `A` and `B` (with same fixed seed, same training dataset...

I am currently training a DCN subclass model for ranking purpose. In some resource I read that to save a subclass model only `model.save_weights(path)` can be used. Hence I do...

Has anyone succeeded in analyzing their ranking data using TFDV (especially if you are saving it in the ELWC format)? How did you approach the task? My first attempt was...

## TL;DR This issue contains code samples how to save a TensorFlow Ranking model with a custom signature that does not require the input data to be wrapped within [ExampleListWithContext](https://github.com/tensorflow/serving/blob/master/tensorflow_serving/apis/input.proto#L72-L82)...

My team uses spark for data preprocessing, and now I need to store the dataframe in spark in HDFS in tfrecord format of ELWC, we use `writeDF.write.mode(writeMode).format("tfrecord").option("recordType", "Example")` to save...