svetakvsundhar commented on code in PR #27305:
URL: https://github.com/apache/beam/pull/27305#discussion_r1246883896
##########
examples/notebooks/beam-ml/run_inference_multi_model.ipynb:
##########
@@ -65,8 +64,8 @@
{
"cell_type": "markdown",
"source": [
- "A single machine learning model might not be the right solution for
your task. Often, machine learning model tasks involve aggregating mutliple
models together to produce one optimal predictive model and to boost
performance. \n",
- " \n",
+ "A single machine learning model might not be the right solution for
your task. Often, machine learning model tasks involve aggregating mutliple
models together to produce one optimal predictive model and to boost
performance.\n",
+ "\n",
"\n",
"This notebook shows how to implement a cascade model in Apache Beam
using the [RunInference
API](https://beam.apache.org/documentation/sdks/python-machine-learning/). The
RunInference API enables you to run your Beam transforms as part of your
pipeline for optimal machine learning inference.\n",
Review Comment:
Can we link to
https://beam.apache.org/documentation/sdks/python-machine-learning/#why-use-the-runinference-api?
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