Tutorial SequenceLearner

Note

Because this documentation consists of static html, the live_plot and live_info widget is not live. Download the notebook in order to see the real behaviour. 1

import adaptive

adaptive.notebook_extension()

import holoviews as hv
import numpy as np

This learner will learn a sequence. It simply returns the points in the provided sequence when asked.

This is useful when your problem cannot be formulated in terms of another adaptive learner, but you still want to use Adaptive’s routines to run, (periodically) save, and plot.

from adaptive import SequenceLearner


def f(x):
    return int(x) ** 2


seq = np.linspace(-15, 15, 1000)
learner = SequenceLearner(f, seq)

runner = adaptive.Runner(learner, SequenceLearner.done)
# that goal is same as `lambda learner: learner.done()`

await runner.task  # This is not needed in a notebook environment!

runner.live_info()

def plotter(learner):
    data = learner.data if learner.data else []
    return hv.Scatter(data)


runner.live_plot(plotter=plotter)

learner.data contains a dictionary that maps the index of the point of learner.sequence to the value at that point.

To get the values in the same order as the input sequence (learner.sequence) use

result = learner.result()
print(result[:10])  # print the 10 first values

[225, 196, 196, 196, 196, 196, 196, 196, 196, 196]

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This notebook can be downloaded as tutorial.SequenceLearner.ipynb and tutorial.SequenceLearner.md.