Initialization

automl.interface. init ( engine = 'dask' , engine_opts = {'dask_scheduler': None} , logger = None , loglevel = 30 )

Initializes the AutoMLx framework’s execution engine. AutoMLx can work with a variety of parallelization platforms.

Parameters

• engine ( str ) –

  Name of the parallelization framework. Can be one of:

  • 'local' : Use Python’s inbuilt multiprocessing framework.

  • 'threading' : Use Python’s inbuilt multithreading framework.

  • 'dask' : Use Dask as the distributed compute engine.

  Defaults to 'dask' .

• engine_opts ( dict ) –

  Options for the parallelization framework. When engine is:

  • 'local' : engine_opts is of the form {'n_jobs' : val1, 'model_n_jobs' : val2} , where val1 is the degree of inter-model parallelism and val2 is the degree of intra-model parallelism.

  • 'threading' : engine_opts is of the form {'n_jobs' : val} , where val is the degree of parallelism.

  • 'dask' : engine_opts is of the form {'dask_scheduler' : val} , where val can be one of

    • URI of the dask scheduler (e.g. 127.0.0.1:8786)

    • an already initialized dask.Client instance

    • None

  Defaults to {'dask_scheduler' : None} .

• logger (logging.Logger, str, optional ) –

  Logging mode. One of

  • None : Log to default logging path <Current directory>/logs/automl/ (file + console).

  • str : Log to provided file.

  • logging.Logger : Use existing Logger object.

  Defaults to None .

• loglevel (int, optional ) – Log levels are similar to log levels in python logging module, takes values like logging.INFO . Defaults to 30.