Efficient framework for building surrogates of multidisciplinary systems using the adaptive multi-index stochastic collocation (AMISC) technique.
⚙️ Installation
Ensure you are using Python 3.11 or later. You can install the package from PyPI using pip:
pip install amisc
If you are using pdm in your own project, then you can use:
pdm add amisc
# Or in editable mode from a local clone...
pdm add -e ./amisc --dev
📍 Quickstart
import numpy as np
from amisc import System
def fun1(x):
y = x * np.sin(np.pi * x)
return y
def fun2(y):
z = 1 / (1 + 25 * y ** 2)
return z
system = System(fun1, fun2)
system.inputs()['x'].domain = (0, 1) # set domain of surrogate for `x`
system.outputs()['y'].domain = (0, 1) # set domain of surrogate for `y`
system.fit()
x_test = system.sample_inputs(10)
y_test = system.predict(x_test)
🏗️ Contributing
See the contribution guidelines.
📖 Reference
AMISC paper [1].
Made with the copier-numpy template.
1 maintainer
Metadata
1 maintainer
Release files for amisc 0.8.1
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| File | Size | Uploaded | |
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| amisc-0.8.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 253.9 kB
Release files / amisc-0.8.1.tar.gz
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| Tags | Python 3 |
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