AutoRA Nearest Value Sampler
A sampler which returns the nearest values between the input samples and the allowed values, without replacement.
Example Code
from autora.experimentalist.sampler.nearest_value import nearest_values_sampler
import numpy as np
#Meta-Setup
X_allowed = np.linspace(-3, 6, 10)
X = np.random.choice(X_allowed,10)
n = 5
#Sampler
X_new = nearest_values_sampler(X, X_allowed, n)
Metadata
Release files for autora-experimentalist-sampler-nearest-value 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| autora-experimentalist-sampler-nearest-value-1.0.1.tar.gz | 28.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| autora_experimentalist_sampler_nearest_value-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 31.5 kB
Release files / autora-experimentalist-sampler-nearest-value-1.0.1.tar.gz
| Download URL | autora-experimentalist-sampler-nearest-value-1.0.1.tar.gz |
|---|---|
| Size | 28.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.2 CPython/3.9.16
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Release files / autora_experimentalist_sampler_nearest_value-1.0.1-py3-none-any.whl
| Download URL | autora_experimentalist_sampler_nearest_value-1.0.1-py3-none-any.whl |
|---|---|
| Size | 2.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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