AutoRA Nearest Value Experimentalist
A experimentalist which returns the nearest values between the input samples and the allowed values, without replacement.
Example Code
from autora.experimentalist.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-nearest-value 2.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| autora_experimentalist_nearest_value-2.2.0.tar.gz | 30.7 kB | Without provenance | Details for autora_experimentalist_nearest_value-2.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| autora_experimentalist_nearest_value-2.2.0-py3-none-any.whl | Python 3 | none | any | Details for autora_experimentalist_nearest_value-2.2.0-py3-none-any.whl |
Total release size: 34.9 kB
Release files / autora_experimentalist_nearest_value-2.2.0.tar.gz
| Download URL | autora_experimentalist_nearest_value-2.2.0.tar.gz |
|---|---|
| Size | 30.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
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Release files / autora_experimentalist_nearest_value-2.2.0-py3-none-any.whl
| Download URL | autora_experimentalist_nearest_value-2.2.0-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Security for autora-experimentalist-nearest-value 2.2.0
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