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new d32a8e55183 Update the Beam ML readme (#29031)
d32a8e55183 is described below
commit d32a8e55183d98517a381ed472d755132de80536
Author: Rebecca Szper <[email protected]>
AuthorDate: Mon Oct 16 19:19:50 2023 -0700
Update the Beam ML readme (#29031)
---
examples/notebooks/beam-ml/README.md | 10 +++++++---
1 file changed, 7 insertions(+), 3 deletions(-)
diff --git a/examples/notebooks/beam-ml/README.md
b/examples/notebooks/beam-ml/README.md
index a1fe7ab19f5..0ae937e9e28 100644
--- a/examples/notebooks/beam-ml/README.md
+++ b/examples/notebooks/beam-ml/README.md
@@ -57,6 +57,7 @@ This section contains the following example notebooks.
* [Apache Beam RunInference with Hugging
Face](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_huggingface.ipynb)
* [Apache Beam RunInference with
XGBoost](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_xgboost.ipynb)
* [Use RunInference with
TFX](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_tensorflow_with_tfx.ipynb)
+* [Use RunInference with a remotely deployed Vertex AI
endpoint](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_vertex_ai.ipynb)
* [Use RunInference in Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_pytorch_tensorflow_sklearn.ipynb)
* [Use RunInference with a
LLM](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_generative_ai.ipynb)
* [Use RunInference with Beam's windowing
semantics](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_windowing.ipynb)
@@ -67,8 +68,10 @@ This section contains the following example notebooks.
* [Remote
inference](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/custom_remote_inference.ipynb)
### Machine Learning Use Cases
-* [Image Processing with Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/image_processing_tensorflow.ipynb)
-* [Natural Language Processing with Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb)
+
+* [Image processing with Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/image_processing_tensorflow.ipynb)
+* [Natural language processing with Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/nlp_tensorflow_streaming.ipynb)
+* [Speech emotion recognition with Apache
Beam](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/speech_emotion_tensorflow.ipynb)
### Automatic Model Refresh
@@ -77,7 +80,7 @@ This section contains the following example notebooks.
### Multi-model pipelines
* [Ensemble model using an image captioning and
ranking](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/run_inference_multi_model.ipynb)
-* [Run ML Inference with Different Models Per
Key](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/per_key_models.ipynb)
+* [Run ML inference with multiple differently-trained
models](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/per_key_models.ipynb)
### Model Evaluation
@@ -85,4 +88,5 @@ This section contains the following example notebooks.
### Data processing
+* [Preprocess data with
MLTransform](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/mltransform_basic.ipynb)
* [Preprocessing with the Apache Beam DataFrames
API](https://github.com/apache/beam/blob/master/examples/notebooks/beam-ml/dataframe_api_preprocessing.ipynb)
