... | ... |
@@ -48,7 +48,7 @@ on the *Play* :fa:`play` button or move the sliders. |
48 | 48 |
from adaptive.learner.learner1D import uniform_loss, default_loss |
49 | 49 |
import holoviews as hv |
50 | 50 |
import numpy as np |
51 |
- adaptive.notebook_extension(_inline_js=False) |
|
51 |
+ adaptive.notebook_extension() |
|
52 | 52 |
%output holomap='scrubber' |
53 | 53 |
|
54 | 54 |
`adaptive.Learner1D` |
... | ... |
@@ -14,7 +14,7 @@ Tutorial `~adaptive.AverageLearner` |
14 | 14 |
:hide-code: |
15 | 15 |
|
16 | 16 |
import adaptive |
17 |
- adaptive.notebook_extension(_inline_js=False) |
|
17 |
+ adaptive.notebook_extension() |
|
18 | 18 |
|
19 | 19 |
The next type of learner averages a function until the uncertainty in |
20 | 20 |
the average meets some condition. |
... | ... |
@@ -14,7 +14,7 @@ Tutorial `~adaptive.DataSaver` |
14 | 14 |
:hide-code: |
15 | 15 |
|
16 | 16 |
import adaptive |
17 |
- adaptive.notebook_extension(_inline_js=False) |
|
17 |
+ adaptive.notebook_extension() |
|
18 | 18 |
|
19 | 19 |
If the function that you want to learn returns a value along with some |
20 | 20 |
metadata, you can wrap your learner in an `adaptive.DataSaver`. |