bschifferer

## Report incorrect documentation Inline comment list supported ops as ["count", "sum", "mean", "std", "var"]. tree_width : dict or int, optional In the code, I can see supported ops are...

**What needs doing** Current existing examples are covering multiple concepts. They should be moved and/or removed. Based on: https://docs.google.com/spreadsheets/d/1ncCGvDZtpUTbtI7VGZpJTk3RjcT5Ww9S_fr7YTF_yFw/edit#gid=0 - [ ] MovieLens - [ ] Scaling Criteo - [...

MultiGPU TensorFlow uses Keras

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Updated the multi-GPU TensorFlow example with TF.Keras as this is easier to use

**Is your feature request related to a problem? Please describe.** We use TensorFlow+Keras+Horovod for multi-GPU examples. Some evaluation metrices cannot be averages, for example AUC. As a user, I want...

Scaling Criteo updates + Multi-GPU TensorFlow version

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* Fixed glob pattern for converting CSV to Parquet * Updated ETL text about HugeCTR data types to be more precise * Updated Training HugeCTR notebook to use variable for...

[REA] Benchmark Criteo NVTabular+TensorFlow Inference

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**What questions are you trying to answer? Please describe.** Analyze latency/throughput for NVTabular+TensorFlow for Triton Inference Server

**What needs doing** Provide multi-GPU example for criteo

**What needs doing** Update Multi-GPU MovieLens TensorFlow example with keras

[Task] Optimize NVTabular Inference Performance

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**What questions are you trying to answer? Please describe.** For the GTC Recommender, we want to deploy NVTabular+Transformer4Rec. Currently, NVTabular is a bottleneck. We experienced the slow NVTabular performance a...

**What questions are you trying to answer? Please describe.** We have NVTabular + NVTabular dataloaders to train on multi-GPUs. We provide multiple examples how to scale to multi-GPU. We want...