amle module

Automated Machine Learning Environment (AMLE)

This code is a simple shim to help automate running machine learning (ML) tests to reduce effort and make it easier to innovate.

Requires various packages including YAML:

sudo apt-get install python-pip git git-flow python-pytest python-yaml

Requires PIP packages coloredlogs, voluptuous and numpy. Install with:

pip install coloredlogs voluptuous numpy

Principles (aspirational):

• Generic. Just a shim, does not contain ML code, and tries to not be opinionated about how ML works or data types
• Reproducibility. Run the same test with same inputs and get the same output(s) - or at least statistically similar.
• Reduce experimentation work effort. Support comparative testing across different parameters and/or ML algorithms, retains historical parameters and results
• Add value to experimentation. Support evolutionary genetic approach to configuring algorithm parameters
• Visibility. Make it easy to understand how experiments are running / ran

class amle.AMLE(CLI_arguments)

Bases: baseclass.BaseClass

This class provides core methods for an Automated Machine Learning Environment (AMLE)

load_aggregator(agg_name)

Passed file location for an aggregator module and return it as an object

load_algorithm(alg_name)

Passed file location for an algorithm module and return it as an object

run()

Run AMLE

run_aggregator(agg_name, agg_parameters)

Run an aggregator, as per spec from policy

run_experiment(experiment_name)

Run an experiment, as per spec from policy

amle.print_help()

Print out the help instructions