improve docker documentation

docs/Docker reference/Docker.md

@@ -1,31 +1 @@
-# 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](#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
-```
-2. If you want to run a local script, it needs to be mounted first. Mount it into the 'app' folder:
-```text
-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:
-```text
-docker run -t -i -v PATH/TO/CODE_FOLDER:/app -v PATH/TO/DATASET_FOLDER:/app/dataset taniyadas/openml-tensorflow /bin/bash
-```
-3. Please make sure to give the correct path to the dataset. For example, 
-```text
-openml_tensorflow.config.dir = 'dataset/Images'
-```
-4. Run your code scripts using:
-```text
- python my_code.py
-```
+ln -s ../../docker/README.md docs/Docker\ Reference/docker-readme.md