ipysensitivityprofiler 0.0.1

Jupyter Widgets for visualizing local sensitivity profiles of functions.

ipysensitivityprofiler

Jupyter Widgets for visualizing local sensitivities of vectorized functions with signature y = f(x) where x,y are arrays.

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Installation

pip install ipysensitivityprofiler

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Example

Example notebooks are available for download on GitHub and hosted on binder.

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Documentation

Documentation is available here (generated using sphinx)

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Usage

import numpy as np
import ipysensitivityprofiler as isp

def quadratic1(x):
    """y = x1**2 + x2**2 + x1*x2"""
    return (np.prod(x, axis=1) + np.power(x, 2).sum(axis=1))

def quadratic2(x):
    """y = 10 + x1**2 + x2**2 - 2 * x1*x2"""
    return (10 - 2 * np.prod(x, axis=1) + np.power(x, 2).sum(axis=1))

isp.profiler(
    models=[quadratic1, quadratic2], 
    xmin=[0, 0],
    xmax=[2, 1],
    ymin=[0],
    ymax=[20],
    x0=[1.5, 0.75],
    resolution=10_000, 
    xlabels=["x1", "x2"],
    ylabels=["y"],
)

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Main Features

• Visualize multiple outputs against multiple inputs interactively
• Overlay more than one model at once
• Download pictures on individual plots (by clicking on red dot)

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License

Distributed under the terms of the MIT License.