Jupyter Widgets for visualizing local sensitivities of vectorized functions with signature y = f(x) where x,y are arrays.
pip install ipysensitivityprofiler
Example notebooks are available for download on GitHub or hosted on biinder.
Documentation is available here (generated using sphinx)
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"],
)
- Visualize multiple outputs against multiple inputs interactively
- Overlay more than one model at once
- Download pictures on individual plots (by clicking on red dot)
Distributed under the terms of the MIT License.