@@ -76,6 +76,7 @@ Adaptively learning a 1D function (the `gif` below) and live-plotting the proces

     learner = Learner1D(peak, bounds=(-1, 1))

     runner = Runner(learner, goal=lambda l: l.loss() < 0.01)

     runner.live_info()

+    runner.live_plot()

 .. raw:: html

@@ -63,6 +63,21 @@ with built-in support for

 Examples

 --------

+Adaptively learning a 1D function (the `gif` below) and live-plotting the process in a Jupyter notebook is as easy as

+

+.. code:: python

+

+    from adaptive import notebook_extension, Runner, Learner1D

+    notebook_extension()

+

+    def peak(x, a=0.01):

+        return x + a**2 / (a**2 + x**2)

+

+    learner = Learner1D(peak, bounds=(-1, 1))

+    runner = Runner(learner, goal=lambda l: l.loss() < 0.01)

+    runner.live_info()

+

+

 .. raw:: html

   <img src="https://user-images.githubusercontent.com/6897215/38739170-6ac7c014-3f34-11e8-9e8f-93b3a3a3d61b.gif" width='20%'> </img> <img src="https://user-images.githubusercontent.com/6897215/35219611-ac8b2122-ff73-11e7-9332-adffab64a8ce.gif" width='40%'> </img> <img src="https://user-images.githubusercontent.com/6897215/47256441-d6d53700-d480-11e8-8224-d1cc49dbdcf5.gif" width='20%'> </img>

@@ -55,6 +55,8 @@ In addition to the learners, ``adaptive`` also provides primitives for

 running the sampling across several cores and even several machines,

 with built-in support for

 `concurrent.futures <https://docs.python.org/3/library/concurrent.futures.html>`_,

+`mpi4py <https://mpi4py.readthedocs.io/en/stable/mpi4py.futures.html>`_,

+`loky <https://loky.readthedocs.io/en/stable/>`_,

 `ipyparallel <https://ipyparallel.readthedocs.io/en/latest/>`_ and

 `distributed <https://distributed.readthedocs.io/en/latest/>`_.

@@ -89,6 +89,13 @@ The recommended way to install adaptive is using ``conda``:

 The ``[notebook]`` above will also install the optional dependencies for

 running ``adaptive`` inside a Jupyter notebook.

+To use Adaptive in Jupyterlab, you need to install the following labextensions.

+

+.. code:: bash

+

+    jupyter labextension install @jupyter-widgets/jupyterlab-manager

+    jupyter labextension install @pyviz/jupyterlab_pyviz

+

 Development

 -----------

@@ -4,7 +4,7 @@

 ===============

 |PyPI| |Conda| |Downloads| |Pipeline status| |DOI| |Binder| |Gitter|

-|Documentation| |GitHub|

+|Documentation| |Coverage| |GitHub|

   *Adaptive*: parallel active learning of mathematical functions.

@@ -178,4 +178,6 @@ request <https://github.com/python-adaptive/adaptive/pulls>`_.

    :target: https://adaptive.readthedocs.io/en/latest/?badge=latest

 .. |GitHub| image:: https://img.shields.io/github/stars/python-adaptive/adaptive.svg?style=social

    :target: https://github.com/python-adaptive/adaptive/stargazers

+.. |Coverage| image:: https://img.shields.io/codecov/c/github/python-adaptive/adaptive

+   :target: https://codecov.io/gh/python-adaptive/adaptive

 .. references-end

@@ -16,7 +16,7 @@ evaluate functions on a computing cluster, live-plot the data as it

 returns, and fine-tune the adaptive sampling algorithm.

 Run the ``adaptive`` example notebook `live on

-Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb>`_

+Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=example-notebook.ipynb>`_

 to see examples of how to use ``adaptive`` or visit the

 `tutorial on Read the Docs <https://adaptive.readthedocs.io/en/latest/tutorial/tutorial.html>`__.

@@ -171,7 +171,7 @@ request <https://github.com/python-adaptive/adaptive/pulls>`_.

 .. |DOI| image:: https://img.shields.io/badge/doi-10.5281%2Fzenodo.1182437-blue.svg

    :target: https://doi.org/10.5281/zenodo.1182437

 .. |Binder| image:: https://mybinder.org/badge.svg

-   :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb

+   :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=example-notebook.ipynb

 .. |Gitter| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

    :target: https://gitter.im/python-adaptive/adaptive

 .. |Documentation| image:: https://readthedocs.org/projects/adaptive/badge/?version=latest

@@ -6,7 +6,7 @@

 |PyPI| |Conda| |Downloads| |Pipeline status| |DOI| |Binder| |Gitter|

 |Documentation| |GitHub|

-** *Adaptive*: Parallel active learning of mathematical functions.**

+  *Adaptive*: parallel active learning of mathematical functions.

 ``adaptive`` is an open-source Python library designed to

 make adaptive parallel function evaluation simple. With ``adaptive`` you

@@ -126,7 +126,7 @@ Citing

 If you used Adaptive in a scientific work, please cite it as follows.

-.. code::

+.. code:: bib

     @misc{Nijholt2019,

       doi = {10.5281/zenodo.1182437},

@@ -6,7 +6,7 @@

 |PyPI| |Conda| |Downloads| |Pipeline status| |DOI| |Binder| |Gitter|

 |Documentation| |GitHub|

-**Tools for adaptive parallel sampling of mathematical functions.**

+** *Adaptive*: Parallel active learning of mathematical functions.**

 ``adaptive`` is an open-source Python library designed to

 make adaptive parallel function evaluation simple. With ``adaptive`` you

@@ -121,6 +121,21 @@ We implement several other checks in order to maintain a consistent code style.

 in the repository.

+Citing

+------

+

+If you used Adaptive in a scientific work, please cite it as follows.

+

+.. code::

+

+    @misc{Nijholt2019,

+      doi = {10.5281/zenodo.1182437},

+      author = {Bas Nijholt and Joseph Weston and Jorn Hoofwijk and Anton Akhmerov},

+      title = {\textit{Adaptive}: parallel active learning of mathematical functions},

+      publisher = {Zenodo},

+      year = {2019}

+    }

+

 Credits

 -------

@@ -113,7 +113,7 @@ please setup the git filter by executing

 in the repository.

-We implement several other checks in order to maintain a consistent code style. We do this using [pre-commit`](https://pre-commit.com), execute

+We implement several other checks in order to maintain a consistent code style. We do this using `pre-commit <https://pre-commit.com>`_, execute

 .. code:: bash

@@ -113,6 +113,14 @@ please setup the git filter by executing

 in the repository.

+We implement several other checks in order to maintain a consistent code style. We do this using [pre-commit`](https://pre-commit.com), execute

+

+.. code:: bash

+

+    pre-commit install

+

+in the repository.

+

 Credits

 -------

@@ -130,10 +130,10 @@ We would like to give credits to the following people:

 For general discussion, we have a `Gitter chat

 channel <https://gitter.im/python-adaptive/adaptive>`_. If you find any

-bugs or have any feature suggestions please file a GitLab

-`issue <https://gitlab.kwant-project.org/qt/adaptive/issues/new?issue>`_

-or submit a `merge

-request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

+bugs or have any feature suggestions please file a GitHub

+`issue <https://github.com/python-adaptive/adaptive/issues/new>`_

+or submit a `pull

+request <https://github.com/python-adaptive/adaptive/pulls>`_.

 .. references-start

 .. |logo| image:: https://adaptive.readthedocs.io/en/latest/_static/logo.png

@@ -143,8 +143,8 @@ request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

    :target: https://anaconda.org/conda-forge/adaptive

 .. |Downloads| image:: https://img.shields.io/conda/dn/conda-forge/adaptive.svg

    :target: https://anaconda.org/conda-forge/adaptive

-.. |Pipeline status| image:: https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg

-   :target: https://gitlab.kwant-project.org/qt/adaptive/pipelines

+.. |Pipeline status| image:: https://dev.azure.com/python-adaptive/adaptive/_apis/build/status/python-adaptive.adaptive?branchName=master

+   :target: https://dev.azure.com/python-adaptive/adaptive/_build/latest?definitionId=6?branchName=master

 .. |DOI| image:: https://img.shields.io/badge/doi-10.5281%2Fzenodo.1182437-blue.svg

    :target: https://doi.org/10.5281/zenodo.1182437

 .. |Binder| image:: https://mybinder.org/badge.svg

@@ -63,7 +63,7 @@ Examples

 .. raw:: html

-  <img src="https://user-images.githubusercontent.com/6897215/38739170-6ac7c014-3f34-11e8-9e8f-93b3a3a3d61b.gif" width='20%'> </img> <img src="https://user-images.githubusercontent.com/6897215/35219611-ac8b2122-ff73-11e7-9332-adffab64a8ce.gif" width='40%'> </img>

+  <img src="https://user-images.githubusercontent.com/6897215/38739170-6ac7c014-3f34-11e8-9e8f-93b3a3a3d61b.gif" width='20%'> </img> <img src="https://user-images.githubusercontent.com/6897215/35219611-ac8b2122-ff73-11e7-9332-adffab64a8ce.gif" width='40%'> </img> <img src="https://user-images.githubusercontent.com/6897215/47256441-d6d53700-d480-11e8-8224-d1cc49dbdcf5.gif" width='20%'> </img>

 .. not-in-documentation-end

@@ -145,8 +145,8 @@ request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

    :target: https://anaconda.org/conda-forge/adaptive

 .. |Pipeline status| image:: https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg

    :target: https://gitlab.kwant-project.org/qt/adaptive/pipelines

-.. |DOI| image:: https://zenodo.org/badge/113714660.svg

-   :target: https://doi.org/10.5281/zenodo.1446400

+.. |DOI| image:: https://img.shields.io/badge/doi-10.5281%2Fzenodo.1182437-blue.svg

+   :target: https://doi.org/10.5281/zenodo.1182437

 .. |Binder| image:: https://mybinder.org/badge.svg

    :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb

 .. |Gitter| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

@@ -1,12 +1,10 @@

 .. summary-start

-.. _logo-adaptive:

+|logo| adaptive

+===============

-|image0| adaptive

-=================

-

-|PyPI| |Conda| |Downloads| |pipeline status| |DOI| |Binder| |Join the

-chat at https://gitter.im/python-adaptive/adaptive| |Documentation Status|

+|PyPI| |Conda| |Downloads| |Pipeline status| |DOI| |Binder| |Gitter|

+|Documentation| |GitHub|

 **Tools for adaptive parallel sampling of mathematical functions.**

@@ -126,7 +124,9 @@ We would like to give credits to the following people:

   Mathematical Software, 37 (3), art. no. 26, 2010.

 - Pauli Virtanen for his ``AdaptiveTriSampling`` script (no longer

   available online since SciPy Central went down) which served as

-  inspiration for the ``~adaptive.Learner2D``.

+  inspiration for the `~adaptive.Learner2D`.

+

+.. credits-end

 For general discussion, we have a `Gitter chat

 channel <https://gitter.im/python-adaptive/adaptive>`_. If you find any

@@ -136,21 +136,23 @@ or submit a `merge

 request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

 .. references-start

-.. |image0| image:: https://gitlab.kwant-project.org/qt/adaptive/uploads/d20444093920a4a0499e165b5061d952/logo.png

+.. |logo| image:: https://adaptive.readthedocs.io/en/latest/_static/logo.png

 .. |PyPI| image:: https://img.shields.io/pypi/v/adaptive.svg

    :target: https://pypi.python.org/pypi/adaptive

-.. |Conda| image:: https://anaconda.org/conda-forge/adaptive/badges/installer/conda.svg

+.. |Conda| image:: https://img.shields.io/badge/install%20with-conda-green.svg

    :target: https://anaconda.org/conda-forge/adaptive

-.. |Downloads| image:: https://anaconda.org/conda-forge/adaptive/badges/downloads.svg

+.. |Downloads| image:: https://img.shields.io/conda/dn/conda-forge/adaptive.svg

    :target: https://anaconda.org/conda-forge/adaptive

-.. |pipeline status| image:: https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg

+.. |Pipeline status| image:: https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg

    :target: https://gitlab.kwant-project.org/qt/adaptive/pipelines

 .. |DOI| image:: https://zenodo.org/badge/113714660.svg

-   :target: https://zenodo.org/badge/latestdoi/113714660

+   :target: https://doi.org/10.5281/zenodo.1446400

 .. |Binder| image:: https://mybinder.org/badge.svg

    :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb

-.. |Join the chat at https://gitter.im/python-adaptive/adaptive| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

+.. |Gitter| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

    :target: https://gitter.im/python-adaptive/adaptive

-.. |Documentation Status| image:: https://readthedocs.org/projects/adaptive/badge/?version=latest

+.. |Documentation| image:: https://readthedocs.org/projects/adaptive/badge/?version=latest

    :target: https://adaptive.readthedocs.io/en/latest/?badge=latest

+.. |GitHub| image:: https://img.shields.io/github/stars/python-adaptive/adaptive.svg?style=social

+   :target: https://github.com/python-adaptive/adaptive/stargazers

 .. references-end

@@ -26,7 +26,7 @@ to see examples of how to use ``adaptive`` or visit the

 **WARNING: adaptive is still in a beta development stage**

-.. implemented-algorithms-start

+.. not-in-documentation-start

 Implemented algorithms

 ----------------------

@@ -60,8 +60,6 @@ with built-in support for

 `ipyparallel <https://ipyparallel.readthedocs.io/en/latest/>`_ and

 `distributed <https://distributed.readthedocs.io/en/latest/>`_.

-.. implemented-algorithms-end

-

 Examples

 --------

@@ -69,6 +67,7 @@ Examples

   <img src="https://user-images.githubusercontent.com/6897215/38739170-6ac7c014-3f34-11e8-9e8f-93b3a3a3d61b.gif" width='20%'> </img> <img src="https://user-images.githubusercontent.com/6897215/35219611-ac8b2122-ff73-11e7-9332-adffab64a8ce.gif" width='40%'> </img>

+.. not-in-documentation-end

 Installation

 ------------

@@ -6,7 +6,7 @@

 =================

 |PyPI| |Conda| |Downloads| |pipeline status| |DOI| |Binder| |Join the

-chat at https://gitter.im/python-adaptive/adaptive|

+chat at https://gitter.im/python-adaptive/adaptive| |Documentation Status|

 **Tools for adaptive parallel sampling of mathematical functions.**

@@ -17,10 +17,10 @@ just supply a function with its bounds, and it will be evaluated at the

 evaluate functions on a computing cluster, live-plot the data as it

 returns, and fine-tune the adaptive sampling algorithm.

-Check out the ``adaptive`` example notebook

-`learner.ipynb <https://github.com/python-adaptive/adaptive/blob/master/learner.ipynb>`_ (or run it `live on

-Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb>`_)

-to see examples of how to use ``adaptive``.

+Run the ``adaptive`` example notebook `live on

+Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb>`_

+to see examples of how to use ``adaptive`` or visit the

+`tutorial on Read the Docs <https://adaptive.readthedocs.io/en/latest/tutorial/tutorial.html>`__.

 .. summary-end

@@ -152,4 +152,6 @@ request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

    :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb

 .. |Join the chat at https://gitter.im/python-adaptive/adaptive| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

    :target: https://gitter.im/python-adaptive/adaptive

+.. |Documentation Status| image:: https://readthedocs.org/projects/adaptive/badge/?version=latest

+   :target: https://adaptive.readthedocs.io/en/latest/?badge=latest

 .. references-end

@@ -10,7 +10,7 @@ chat at https://gitter.im/python-adaptive/adaptive|

 **Tools for adaptive parallel sampling of mathematical functions.**

-``adaptive`` is an `open-source <LICENSE>`_ Python library designed to

+``adaptive`` is an open-source Python library designed to

 make adaptive parallel function evaluation simple. With ``adaptive`` you

 just supply a function with its bounds, and it will be evaluated at the

 “best” points in parameter space. With just a few lines of code you can

@@ -18,7 +18,7 @@ evaluate functions on a computing cluster, live-plot the data as it

 returns, and fine-tune the adaptive sampling algorithm.

 Check out the ``adaptive`` example notebook

-`learner.ipynb <learner.ipynb>`_ (or run it `live on

+`learner.ipynb <https://github.com/python-adaptive/adaptive/blob/master/learner.ipynb>`_ (or run it `live on

 Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb>`_)

 to see examples of how to use ``adaptive``.

@@ -127,7 +127,7 @@ We would like to give credits to the following people:

   Mathematical Software, 37 (3), art. no. 26, 2010.

 - Pauli Virtanen for his ``AdaptiveTriSampling`` script (no longer

   available online since SciPy Central went down) which served as

-  inspiration for the `Learner2D <adaptive/learner/learner2D.py>`_.

+  inspiration for the ``~adaptive.Learner2D``.

 For general discussion, we have a `Gitter chat

 channel <https://gitter.im/python-adaptive/adaptive>`_. If you find any

new file mode 100644

@@ -0,0 +1,155 @@

+.. summary-start

+

+.. _logo-adaptive:

+

+|image0| adaptive

+=================

+

+|PyPI| |Conda| |Downloads| |pipeline status| |DOI| |Binder| |Join the

+chat at https://gitter.im/python-adaptive/adaptive|

+

+**Tools for adaptive parallel sampling of mathematical functions.**

+

+``adaptive`` is an `open-source <LICENSE>`_ Python library designed to

+make adaptive parallel function evaluation simple. With ``adaptive`` you

+just supply a function with its bounds, and it will be evaluated at the

+“best” points in parameter space. With just a few lines of code you can

+evaluate functions on a computing cluster, live-plot the data as it

+returns, and fine-tune the adaptive sampling algorithm.

+

+Check out the ``adaptive`` example notebook

+`learner.ipynb <learner.ipynb>`_ (or run it `live on

+Binder <https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb>`_)

+to see examples of how to use ``adaptive``.

+

+.. summary-end

+

+**WARNING: adaptive is still in a beta development stage**

+

+.. implemented-algorithms-start

+

+Implemented algorithms

+----------------------

+

+The core concept in ``adaptive`` is that of a *learner*. A *learner*

+samples a function at the best places in its parameter space to get

+maximum “information” about the function. As it evaluates the function

+at more and more points in the parameter space, it gets a better idea of

+where the best places are to sample next.

+

+Of course, what qualifies as the “best places” will depend on your

+application domain! ``adaptive`` makes some reasonable default choices,

+but the details of the adaptive sampling are completely customizable.

+

+The following learners are implemented:

+

+- ``Learner1D``, for 1D functions ``f: ℝ → ℝ^N``,

+- ``Learner2D``, for 2D functions ``f: ℝ^2 → ℝ^N``,

+- ``LearnerND``, for ND functions ``f: ℝ^N → ℝ^M``,

+- ``AverageLearner``, For stochastic functions where you want to

+  average the result over many evaluations,

+- ``IntegratorLearner``, for

+  when you want to intergrate a 1D function ``f: ℝ → ℝ``,

+- ``BalancingLearner``, for when you want to run several learners at once,

+  selecting the “best” one each time you get more points.

+

+In addition to the learners, ``adaptive`` also provides primitives for

+running the sampling across several cores and even several machines,

+with built-in support for

+`concurrent.futures <https://docs.python.org/3/library/concurrent.futures.html>`_,

+`ipyparallel <https://ipyparallel.readthedocs.io/en/latest/>`_ and

+`distributed <https://distributed.readthedocs.io/en/latest/>`_.

+

+.. implemented-algorithms-end

+

+Examples

+--------

+

+.. raw:: html

+

+  <img src="https://user-images.githubusercontent.com/6897215/38739170-6ac7c014-3f34-11e8-9e8f-93b3a3a3d61b.gif" width='20%'> </img> <img src="https://user-images.githubusercontent.com/6897215/35219611-ac8b2122-ff73-11e7-9332-adffab64a8ce.gif" width='40%'> </img>

+

+

+Installation

+------------

+

+``adaptive`` works with Python 3.6 and higher on Linux, Windows, or Mac,

+and provides optional extensions for working with the Jupyter/IPython

+Notebook.

+

+The recommended way to install adaptive is using ``conda``:

+

+.. code:: bash

+

+    conda install -c conda-forge adaptive

+

+``adaptive`` is also available on PyPI:

+

+.. code:: bash

+

+    pip install adaptive[notebook]

+

+The ``[notebook]`` above will also install the optional dependencies for

+running ``adaptive`` inside a Jupyter notebook.

+

+Development

+-----------

+

+Clone the repository and run ``setup.py develop`` to add a link to the

+cloned repo into your Python path:

+

+.. code:: bash

+

+    git clone git@github.com:python-adaptive/adaptive.git

+    cd adaptive

+    python3 setup.py develop

+

+We highly recommend using a Conda environment or a virtualenv to manage

+the versions of your installed packages while working on ``adaptive``.

+

+In order to not pollute the history with the output of the notebooks,

+please setup the git filter by executing

+

+.. code:: bash

+

+    python ipynb_filter.py

+

+in the repository.

+

+Credits

+-------

+

+We would like to give credits to the following people:

+

+- Pedro Gonnet for his implementation of `CQUAD <https://www.gnu.org/software/gsl/manual/html_node/CQUAD-doubly_002dadaptive-integration.html>`_,

+  “Algorithm 4” as described in “Increasing the Reliability of Adaptive

+  Quadrature Using Explicit Interpolants”, P. Gonnet, ACM Transactions on

+  Mathematical Software, 37 (3), art. no. 26, 2010.

+- Pauli Virtanen for his ``AdaptiveTriSampling`` script (no longer

+  available online since SciPy Central went down) which served as

+  inspiration for the `Learner2D <adaptive/learner/learner2D.py>`_.

+

+For general discussion, we have a `Gitter chat

+channel <https://gitter.im/python-adaptive/adaptive>`_. If you find any

+bugs or have any feature suggestions please file a GitLab

+`issue <https://gitlab.kwant-project.org/qt/adaptive/issues/new?issue>`_

+or submit a `merge

+request <https://gitlab.kwant-project.org/qt/adaptive/merge_requests>`_.

+

+.. references-start

+.. |image0| image:: https://gitlab.kwant-project.org/qt/adaptive/uploads/d20444093920a4a0499e165b5061d952/logo.png

+.. |PyPI| image:: https://img.shields.io/pypi/v/adaptive.svg

+   :target: https://pypi.python.org/pypi/adaptive

+.. |Conda| image:: https://anaconda.org/conda-forge/adaptive/badges/installer/conda.svg

+   :target: https://anaconda.org/conda-forge/adaptive

+.. |Downloads| image:: https://anaconda.org/conda-forge/adaptive/badges/downloads.svg

+   :target: https://anaconda.org/conda-forge/adaptive

+.. |pipeline status| image:: https://gitlab.kwant-project.org/qt/adaptive/badges/master/pipeline.svg

+   :target: https://gitlab.kwant-project.org/qt/adaptive/pipelines

+.. |DOI| image:: https://zenodo.org/badge/113714660.svg

+   :target: https://zenodo.org/badge/latestdoi/113714660

+.. |Binder| image:: https://mybinder.org/badge.svg

+   :target: https://mybinder.org/v2/gh/python-adaptive/adaptive/master?filepath=learner.ipynb

+.. |Join the chat at https://gitter.im/python-adaptive/adaptive| image:: https://img.shields.io/gitter/room/nwjs/nw.js.svg

+   :target: https://gitter.im/python-adaptive/adaptive

+.. references-end