Browse code
remove _inline_js=False in adaptive.notebook_extension call
Bas Nijholt authored on 17/09/2020 22:19:56
Showing 1 changed files
Browse code
remove thebelab buttons
Bas Nijholt authored on 01/08/2019 16:10:21
Showing 1 changed files
| ... | ... |
@@ -10,8 +10,6 @@ Tutorial `~adaptive.SKOptLearner` |
| 10 | 10 |
The complete source code of this tutorial can be found in |
| 11 | 11 |
:jupyter-download:notebook:`tutorial.SKOptLearner` |
| 12 | 12 |
|
| 13 |
-.. thebe-button:: Run the code live inside the documentation! |
|
| 14 |
- |
|
| 15 | 13 |
.. jupyter-execute:: |
| 16 | 14 |
:hide-code: |
| 17 | 15 |
|
Browse code
add thebelab activation buttons
Bas Nijholt authored on 10/07/2019 19:30:06
Showing 1 changed files
| ... | ... |
@@ -10,6 +10,8 @@ Tutorial `~adaptive.SKOptLearner` |
| 10 | 10 |
The complete source code of this tutorial can be found in |
| 11 | 11 |
:jupyter-download:notebook:`tutorial.SKOptLearner` |
| 12 | 12 |
|
| 13 |
+.. thebe-button:: Run the code live inside the documentation! |
|
| 14 |
+ |
|
| 13 | 15 |
.. jupyter-execute:: |
| 14 | 16 |
:hide-code: |
| 15 | 17 |
|
Browse code
do not inline the HoloViews JS
Bas Nijholt authored on 26/03/2019 12:44:31
Showing 1 changed files
Browse code
change "execute" into "jupyter-execute"
Bas Nijholt authored on 18/10/2018 18:21:31
Showing 1 changed files
| ... | ... |
@@ -8,11 +8,10 @@ Tutorial `~adaptive.SKOptLearner` |
| 8 | 8 |
|
| 9 | 9 |
.. seealso:: |
| 10 | 10 |
The complete source code of this tutorial can be found in |
| 11 |
- :jupyter-download:notebook:`SKOptLearner` |
|
| 11 |
+ :jupyter-download:notebook:`tutorial.SKOptLearner` |
|
| 12 | 12 |
|
| 13 |
-.. execute:: |
|
| 13 |
+.. jupyter-execute:: |
|
| 14 | 14 |
:hide-code: |
| 15 |
- :new-notebook: SKOptLearner |
|
| 16 | 15 |
|
| 17 | 16 |
import adaptive |
| 18 | 17 |
adaptive.notebook_extension() |
| ... | ... |
@@ -33,13 +32,13 @@ Although ``SKOptLearner`` can optimize functions of arbitrary |
| 33 | 32 |
dimensionality, we can only plot the learner if a 1D function is being |
| 34 | 33 |
learned. |
| 35 | 34 |
|
| 36 |
-.. execute:: |
|
| 35 |
+.. jupyter-execute:: |
|
| 37 | 36 |
|
| 38 | 37 |
def F(x, noise_level=0.1): |
| 39 | 38 |
return (np.sin(5 * x) * (1 - np.tanh(x ** 2)) |
| 40 | 39 |
+ np.random.randn() * noise_level) |
| 41 | 40 |
|
| 42 |
-.. execute:: |
|
| 41 |
+.. jupyter-execute:: |
|
| 43 | 42 |
|
| 44 | 43 |
learner = adaptive.SKOptLearner(F, dimensions=[(-2., 2.)], |
| 45 | 44 |
base_estimator="GP", |
| ... | ... |
@@ -48,16 +47,16 @@ learned. |
| 48 | 47 |
) |
| 49 | 48 |
runner = adaptive.Runner(learner, ntasks=1, goal=lambda l: l.npoints > 40) |
| 50 | 49 |
|
| 51 |
-.. execute:: |
|
| 50 |
+.. jupyter-execute:: |
|
| 52 | 51 |
:hide-code: |
| 53 | 52 |
|
| 54 | 53 |
await runner.task # This is not needed in a notebook environment! |
| 55 | 54 |
|
| 56 |
-.. execute:: |
|
| 55 |
+.. jupyter-execute:: |
|
| 57 | 56 |
|
| 58 | 57 |
runner.live_info() |
| 59 | 58 |
|
| 60 |
-.. execute:: |
|
| 59 |
+.. jupyter-execute:: |
|
| 61 | 60 |
|
| 62 | 61 |
%%opts Overlay [legend_position='top'] |
| 63 | 62 |
xs = np.linspace(*learner.space.bounds[0]) |
Browse code
add tutorials
Bas Nijholt authored on 17/10/2018 13:30:10
Showing 1 changed files
| 1 | 1 |
new file mode 100644 |
| ... | ... |
@@ -0,0 +1,66 @@ |
| 1 |
+Tutorial `~adaptive.SKOptLearner` |
|
| 2 |
+--------------------------------- |
|
| 3 |
+ |
|
| 4 |
+.. note:: |
|
| 5 |
+ Because this documentation consists of static html, the ``live_plot`` |
|
| 6 |
+ and ``live_info`` widget is not live. Download the notebook |
|
| 7 |
+ in order to see the real behaviour. |
|
| 8 |
+ |
|
| 9 |
+.. seealso:: |
|
| 10 |
+ The complete source code of this tutorial can be found in |
|
| 11 |
+ :jupyter-download:notebook:`SKOptLearner` |
|
| 12 |
+ |
|
| 13 |
+.. execute:: |
|
| 14 |
+ :hide-code: |
|
| 15 |
+ :new-notebook: SKOptLearner |
|
| 16 |
+ |
|
| 17 |
+ import adaptive |
|
| 18 |
+ adaptive.notebook_extension() |
|
| 19 |
+ |
|
| 20 |
+ import holoviews as hv |
|
| 21 |
+ import numpy as np |
|
| 22 |
+ |
|
| 23 |
+We have wrapped the ``Optimizer`` class from |
|
| 24 |
+`scikit-optimize <https://github.com/scikit-optimize/scikit-optimize>`__, |
|
| 25 |
+to show how existing libraries can be integrated with ``adaptive``. |
|
| 26 |
+ |
|
| 27 |
+The ``SKOptLearner`` attempts to “optimize” the given function ``g`` |
|
| 28 |
+(i.e. find the global minimum of ``g`` in the window of interest). |
|
| 29 |
+ |
|
| 30 |
+Here we use the same example as in the ``scikit-optimize`` |
|
| 31 |
+`tutorial <https://github.com/scikit-optimize/scikit-optimize/blob/master/examples/ask-and-tell.ipynb>`__. |
|
| 32 |
+Although ``SKOptLearner`` can optimize functions of arbitrary |
|
| 33 |
+dimensionality, we can only plot the learner if a 1D function is being |
|
| 34 |
+learned. |
|
| 35 |
+ |
|
| 36 |
+.. execute:: |
|
| 37 |
+ |
|
| 38 |
+ def F(x, noise_level=0.1): |
|
| 39 |
+ return (np.sin(5 * x) * (1 - np.tanh(x ** 2)) |
|
| 40 |
+ + np.random.randn() * noise_level) |
|
| 41 |
+ |
|
| 42 |
+.. execute:: |
|
| 43 |
+ |
|
| 44 |
+ learner = adaptive.SKOptLearner(F, dimensions=[(-2., 2.)], |
|
| 45 |
+ base_estimator="GP", |
|
| 46 |
+ acq_func="gp_hedge", |
|
| 47 |
+ acq_optimizer="lbfgs", |
|
| 48 |
+ ) |
|
| 49 |
+ runner = adaptive.Runner(learner, ntasks=1, goal=lambda l: l.npoints > 40) |
|
| 50 |
+ |
|
| 51 |
+.. execute:: |
|
| 52 |
+ :hide-code: |
|
| 53 |
+ |
|
| 54 |
+ await runner.task # This is not needed in a notebook environment! |
|
| 55 |
+ |
|
| 56 |
+.. execute:: |
|
| 57 |
+ |
|
| 58 |
+ runner.live_info() |
|
| 59 |
+ |
|
| 60 |
+.. execute:: |
|
| 61 |
+ |
|
| 62 |
+ %%opts Overlay [legend_position='top'] |
|
| 63 |
+ xs = np.linspace(*learner.space.bounds[0]) |
|
| 64 |
+ to_learn = hv.Curve((xs, [F(x, 0) for x in xs]), label='to learn') |
|
| 65 |
+ |
|
| 66 |
+ runner.live_plot().relabel('prediction', depth=2) * to_learn
|