nswamy commented on a change in pull request #13582: [MXNET-1195] Cleanup Scala
README file
URL: https://github.com/apache/incubator-mxnet/pull/13582#discussion_r239991854
##########
File path: scala-package/README.md
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@@ -70,123 +122,24 @@ make
SCALA_TEST_ARGS=-Dsuites=org.apache.mxnet.NDArraySuite scalaunittest
If everything goes well, you will find jars for `assembly`, `core` and
`example` modules.
Also it produces the native library in `native/{your-architecture}/target`,
which you can use to cooperate with the `core` module.
-Once you've downloaded and unpacked MNIST dataset to `./data/`, run the
training example by
-
-```bash
-java -Xmx4G -cp \
-
scala-package/assembly/{your-architecture}/target/*:scala-package/examples/target/*:scala-package/examples/target/classes/lib/*
\
- org.apache.mxnet.examples.imclassification.TrainMnist \
- --data-dir=./data/ \
- --num-epochs=10 \
- --network=mlp \
- --cpus=0,1,2,3
-```
-
-If you've compiled with `USE_DIST_KVSTORE` enabled, the python tools in
`mxnet/tracker` can be used to launch distributed training.
-The following command runs the above example using 2 worker nodes (and 2
server nodes) in local. Refer to [Distributed
Training](http://mxnet.incubator.apache.org/how_to/multi_devices.html) for more
details.
-
-```bash
-tracker/dmlc_local.py -n 2 -s 2 \
- java -Xmx4G -cp \
-
scala-package/assembly/{your-architecture}/target/*:scala-package/examples/target/*:scala-package/examples/target/classes/lib/*
\
- org.apache.mxnet.examples.imclassification.TrainMnist \
- --data-dir=./data/ \
- --num-epochs=10 \
- --network=mlp \
- --cpus=0 \
- --kv-store=dist_sync
-```
-
-Change the arguments and have fun!
+Examples & Usage
Review comment:
we shouldn't remove the example for training, can you please update the
example?
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