kurman commented on a change in pull request #11205: Clojure Contrib Package URL: https://github.com/apache/incubator-mxnet/pull/11205#discussion_r197857831
########## File path: contrib/clojure-package/examples/cnn-text-classification/README.md ########## @@ -0,0 +1,38 @@ +# cnn-text-classification + +An example of text classification using CNN + +To use you must download the MR polarity dataset and put it in the path specified in the mr-dataset-path +The dataset can be obtained here: [https://github.com/yoonkim/CNN_sentence](https://github.com/yoonkim/CNN_sentence). The two files `rt-polarity.neg` +and `rt-polarity.pos` must be put in a directory. For example, `data/mr-data/rt-polarity.neg`. + +You also must download the glove word embeddings. The suggested one to use is the smaller 50 dimension one +`glove.6B.50d.txt` which is contained in the download file here [https://nlp.stanford.edu/projects/glove/](https://nlp.stanford.edu/projects/glove/) + +## Usage + +You can run through the repl with +`(train-convnet {:embedding-size 50 :batch-size 100 :test-size 100 :num-epoch 10 :max-examples 1000})` + +or +`JVM_OPTS="Xmx1g" lein run` (cpu) + +You can control the devices you run on by doing: + +`lein run :cpu 2` - This will run on 2 cpu devices +`lein run :gpu 1` - This will run on 1 gpu device +`lein run :gpu 2` - This will run on 2 gpu devices + + +The max-examples only loads 1000 each of the dataset to keep the time and memory down. To run all the examples, +change the main to be (train-convnet {:embedding-size 50 :batch-size 100 :test-size 1000 :num-epoch 10) + +and then run + +- `lein uberjar` +- `java -Xms1024m -Xmx2048m -jar target/cnn-text-classification-0.1.0-SNAPSHOT-standalone.jar` + + Review comment: Extra lines here ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
