autogoal
Note
AutoGOAL is a Python framework for the automatic optimization, generation and learning of software pipelines.
A software pipeline is defined, for the purpose of AutoGOAL, as any software component, whether a class hierarchy, a set of functions, or any combination thereof, that work together to solve a specific problem. With AutoGOAL you can define a pipeline in many different ways, such that certain parts of it are configurable or tunable, and then use search algorithms to find the best way to tune or configure it for a given problem.
This is the top level module for AutoGOAL, it's what you we get when we import autogoal.
By default, Python won't import submodules, hence, if we want autogoal.* to work we'll have
to import all submodules here manually.
These four submodules include the low-level components of AutoGOAL from which we can build all the core functionality.
The grammar
and sampling submodules allows us to
define search spaces with arbitrary structure,
and automatically create instances of different types of objects by sampling from them.
from autogoal import grammar
from autogoal import sampling
The kb submodule allows us to
define algorithms based on input and output types that
and combine them automatically intro pipeline graphs.
from autogoal import kb
The search submodule contains search
strategies to optimize in different hyper-parameter spaces.
from autogoal import search
With these low level structures, we can build the core functionality of AutoGOAL, the AutoML algorithm.
The ml submodule contains the definition of
the AutoML class
and related functionality.
from autogoal import ml
The contrib submodule contains all the juicy stuff:
machine learning algorithms from several external dependencies.
from autogoal import contrib
The datasets submodule contains several example
datasets that can be used to showcase AutoGOAL.
from autogoal import datasets
These modules contain additional utilities.
from autogoal import utils
from autogoal import logging
Finally, we import the top-level optimize function.
from autogoal.utils._helpers import optimize
Before leaving, let's setup logging at the warning level by default.
logging.setup(level="WARNING")