https://github.com/USCDataScience/AgePredictor
Build then drop into the container
docker build . --tag agepredict
docker run -it agepredict /bin/bash
Now, you can run AgePredict normally! Once inside the container, begin Quickstart steps. Note that the working directory is the AgePredict project's root directory.
- Perform training, and build a
model/en-ageClassify.binfile:
bin/authorage AgeClassifyTrainer -model model/en-ageClassify.bin -lang en -data data/sample_train.txt -encoding UTF-8
- Run the Age prediction with the sample data:
bin/authorage AgePredict model/classify-unigram.bin model/regression-global.bin data/sample_test.txt
- Run the Age prediction and grep out the predictions from the sample data:
bin/authorage AgePredict ./model/classify-unigram.bin ./model/regression-global.bin data/sample_test.txt < data/sample_test.txt 2>&1 | grep "Prediction"
Place all of your testing/training data in the local data/ directory. For additional usage see the AgePredictor documentation.
Coming...