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.. _api_ref:
=============
API Reference
=============
Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt is reusable in many contexts and accessible.
:mod:`skopt`: module
====================
Base classes
------------
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
BayesSearchCV
Optimizer
Space
Functions
---------
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: function.rst
dummy_minimize
dump
expected_minimum
expected_minimum_random_sampling
forest_minimize
gbrt_minimize
gp_minimize
load
.. _acquisition_ref:
:mod:`skopt.acquisition`: Acquisition
=====================================
.. automodule:: skopt.acquisition
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`acquisition` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: function.rst
acquisition.gaussian_acquisition_1D
acquisition.gaussian_ei
acquisition.gaussian_lcb
acquisition.gaussian_pi
.. _benchmarks_ref:
:mod:`skopt.benchmarks`: A collection of benchmark problems.
============================================================
.. automodule:: skopt.benchmarks
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`benchmarks` section for
further details.
.. currentmodule:: skopt
Functions
---------
.. autosummary::
:toctree: generated/
:template: function.rst
benchmarks.bench1
benchmarks.bench1_with_time
benchmarks.bench2
benchmarks.bench3
benchmarks.bench4
benchmarks.bench5
benchmarks.branin
benchmarks.hart6
.. _callbacks_ref:
:mod:`skopt.callbacks`: Callbacks
=================================
.. automodule:: skopt.callbacks
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`callbacks` section for further
details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated
:template: class.rst
callbacks.CheckpointSaver
callbacks.DeadlineStopper
callbacks.DeltaXStopper
callbacks.DeltaYStopper
callbacks.EarlyStopper
callbacks.TimerCallback
callbacks.VerboseCallback
.. _learning_ref:
:mod:`skopt.learning`: Machine learning extensions for model-based optimization.
================================================================================
.. automodule:: skopt.learning
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`learning` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
learning.ExtraTreesRegressor
learning.GaussianProcessRegressor
learning.GradientBoostingQuantileRegressor
learning.RandomForestRegressor
.. _optimizer_ref:
:mod:`skopt.optimizer`: Optimizer
=================================
.. automodule:: skopt.optimizer
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`optimizer` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
optimizer.Optimizer
.. autosummary::
:toctree: generated/
:template: function.rst
optimizer.base_minimize
optimizer.dummy_minimize
optimizer.forest_minimize
optimizer.gbrt_minimize
optimizer.gp_minimize
.. _plots_ref:
:mod:`skopt.plots`: Plotting functions.
=======================================
.. automodule:: skopt.plots
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`plots` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: function.rst
plots.partial_dependence
plots.partial_dependence_1D
plots.partial_dependence_2D
plots.plot_convergence
plots.plot_evaluations
plots.plot_gaussian_process
plots.plot_objective
plots.plot_objective_2D
plots.plot_histogram
plots.plot_regret
.. _utils_ref:
:mod:`skopt.utils`: Utils functions.
====================================
.. automodule:: skopt.utils
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`utils` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: function.rst
utils.cook_estimator
utils.cook_initial_point_generator
utils.dimensions_aslist
utils.expected_minimum
utils.expected_minimum_random_sampling
utils.dump
utils.load
utils.point_asdict
utils.point_aslist
utils.use_named_args
.. _sampler_ref:
:mod:`skopt.sampler`: Samplers
==============================
.. automodule:: skopt.sampler
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`sampler` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
sampler.Lhs
sampler.Sobol
sampler.Halton
sampler.Hammersly
.. _space_ref:
:mod:`skopt.space.space`: Space
===============================
.. automodule:: skopt.space.space
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`space` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
space.space.Categorical
space.space.Dimension
space.space.Integer
space.space.Real
space.space.Space
.. autosummary::
:toctree: generated/
:template: function.rst
space.space.check_dimension
.. _transformers_ref:
:mod:`skopt.space.transformers`: transformers
=============================================
.. automodule:: skopt.space.transformers
:no-members:
:no-inherited-members:
**User guide:** See the :ref:`transformers` section for further details.
.. currentmodule:: skopt
.. autosummary::
:toctree: generated/
:template: class.rst
space.transformers.CategoricalEncoder
space.transformers.Identity
space.transformers.LogN
space.transformers.Normalize
space.transformers.Pipeline
space.transformers.Transformer
space.transformers.LabelEncoder
space.transformers.StringEncoder
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