From f088110cc6254c5dd4cb4e070a4a0ec8a4d8cd09 Mon Sep 17 00:00:00 2001 From: Chamikara Jayalath Date: Sun, 16 Oct 2022 21:21:56 -0700 Subject: [PATCH] Address reviewer comments --- examples/multi-language/README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/examples/multi-language/README.md b/examples/multi-language/README.md index 4b41594f9c4b..127ab8c30eb2 100644 --- a/examples/multi-language/README.md +++ b/examples/multi-language/README.md @@ -66,10 +66,16 @@ Please note that the Java pipeline is #### Setup * Obtain/generate a csv input file that contains labels and pixels to feed into the model and store it in -GCS. And example input is available [here](TODO). +GCS. An example input is available +[here](https://storage.googleapis.com/apache-beam-samples/multi-language/mnist/example_input.csv). * Create a model file that contains the pickled file of a scikit-learn model -trained on MNIST data and store it in GCS. An example model file is available [here](TODO). +trained on MNIST data and store it in GCS. An example model file is available +[here](https://storage.googleapis.com/apache-beam-samples/multi-language/mnist/example_model). +This model was generated by by running the program given +[here](https://python-course.eu/machine-learning/training-and-testing-with-mnist.php) +on the +[example input dataset](https://storage.googleapis.com/apache-beam-samples/multi-language/mnist/example_input.csv). * Perform Beam runner specific setup according to instructions [here](https://beam.apache.org/get-started/quickstart-java/#run-a-pipeline). @@ -160,9 +166,3 @@ of the digit. The second item is the predicted label of the digit. ``` gsutil cat gs://$GCP_BUCKET/multi-language-beam/output* ``` - - - - - -