... | ... |
@@ -440,8 +440,17 @@ |
440 | 440 |
"outputs": [], |
441 | 441 |
"source": [ |
442 | 442 |
"learner = adaptive.Learner1D(f_levels, bounds=(-1, 1))\n", |
443 |
- "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.05)\n", |
|
444 |
- "runner.live_plot()" |
|
443 |
+ "runner = adaptive.Runner(learner, goal=lambda l: l.loss() < 0.01)\n", |
|
444 |
+ "runner.live_info()" |
|
445 |
+ ] |
|
446 |
+ }, |
|
447 |
+ { |
|
448 |
+ "cell_type": "code", |
|
449 |
+ "execution_count": null, |
|
450 |
+ "metadata": {}, |
|
451 |
+ "outputs": [], |
|
452 |
+ "source": [ |
|
453 |
+ "runner.live_plot(update_interval=0.1)" |
|
445 | 454 |
] |
446 | 455 |
}, |
447 | 456 |
{ |
... | ... |
@@ -860,7 +869,7 @@ |
860 | 869 |
"metadata": {}, |
861 | 870 |
"outputs": [], |
862 | 871 |
"source": [ |
863 |
- "learner = adaptive.Learner1D(f, bounds=(-1, 1))\n", |
|
872 |
+ "learner = adaptive.Learner1D(partial(f, wait=False), bounds=(-1, 1))\n", |
|
864 | 873 |
"adaptive.BlockingRunner(learner, goal=lambda l: l.loss() < 0.005)\n", |
865 | 874 |
"# This will only get run after the runner has finished\n", |
866 | 875 |
"learner.plot()" |