uncertainty-tools 0.0.1

Utilities for uncertainty-aware regression and symbolic function helpers.

unc_tools

Utilities for uncertainty-aware regression and symbolic function helpers.

Python version: 3.10+

Install (uv)

uv venv
uv pip install -e .

Install (pip)

pip install unc_tools

Usage

from unc_tools import FunctionBase1D, Poly, UncRegression

# Symbolic expression with coefficients.
expr = FunctionBase1D("a*x + b")

# Polynomial helper.
poly = Poly(2)

# Regression with uncertainty propagation.
reg = UncRegression([0, 1, 2], [0, 1.1, 1.9], func=expr)
pred = reg.predict([0.5, 1.5])

Optional matplotlib and sympy patches

Importing unc_tools.patches monkey-patches matplotlib Axes.scatter/Axes.plot and adds uncertainty-aware helpers for sympy substitution/lambdify. This is a global side effect and should be enabled explicitly:

import unc_tools.patches  # noqa: F401

Public API

• UncRegression: regression with uncertainty propagation.
• FunctionBase1D, Poly, Hyper: symbolic helpers for 1D expressions.
• DataError, ExpressionError, InitialGuessError, ModelTypeError: custom exceptions.

License

This project is licensed under the MIT License.