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OpenML-Tensorflow container

The docker container has the latest version of OpenML-Tensorflow downloaded and pre-installed. It can be used to run TensorFlow Deep Learning analysis on OpenML datasets. This document contains information about:

Usage: how to use the image

Usage

These are the steps to use the image:

  1. Pull the docker image
docker pull taniyadas/openml-tensorflow:latest
  1. If you want to run a local script, it needs to be mounted first. Mount it into the 'app' folder:
docker run -it -v PATH/TO/CODE_FOLDER:/app taniyadas/openml-tensorflow /bin/bash

You can also mount multiple directories into the container (such as your code file directory and dataset directory ) using:

docker run -t -i -v PATH/TO/CODE_FOLDER:/app -v PATH/TO/DATASET_FOLDER:/app/dataset taniyadas/openml-tensorflow /bin/bash
  1. Please make sure to give the correct path to the dataset. For example,
openml_tensorflow.config.dir = 'dataset/Images'
  1. Run your code scripts using:
 python my_code.py