quick-start

This is a quick-start example for using datmo over iris classification dataset

Installation:

Requirements: docker

$ pip install datmo

Steps:

1. Clone this github project,

   $ git clone https://github.com/datmo/quick-start.git
   

2. Move into the project and initialize it and setup the environment using datmo CLI,

   $ cd quick-start
   $ # Initialize the project using datmo
   $ datmo init
   $ # Set the name and description for the project
   $ # Enter `y` to setup the environment
   $ # Select `cpu`, `data-analytics`, `py27` based on the questions being asked   
   

3. Now, run your first experiment using the following command,

   $ datmo run 'python script.py'
   $ # check for your first run using ls command
   $ datmo ls
   

4. Now let's change the script for a new run,

   vi script.py
   

   Uncomment the following line in the script and remove the other config dictionary,

   # config = { "solver": "liblinear", "penalty": "l1" }   
   

5. Now that we have updated the script, let's run another experiment,

   $ datmo run 'python script.py'
   $ # check for your first run using ls command
   $ datmo ls
   

6. With two test being tracked, we can now rerun any of the previous run with reprocibility,

   $ # Select the earlier run-id to rerun the first experiment
   $ datmo rerun < run-id >
   

Now, in this quick-start example, you have run two experiments, which are tracked and have rerun one of these tracked experiment.