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Risk-Based Optimization tool using CVXPY and CVXPYgen

Project description

CVXPY Risk Optimization

A package for risk-based optimization using CVXPY and CVXPYgen.

Installation

Installing from PyPI

The package can be installed using pip:

pip install cvxRiskOpt

Notes:

  • The installation will also include cvxpy and cvxpygen.
  • Please refer to cvxpy's documentation for installing additional solvers.
  • Compiling code with Clarabel requires Rust, Eigen, and cbindgen. (e.g. These can be installed with homebrew on MacOS)

Installing from source

  • Clone/Download the package
  • Create and activate conda env
conda create --name cvxRiskOpt python=3.10 pip -y
conda activate cvxRiskOpt
  • Install dependencies (see setup.py)
  • Install the package
python3 -m pip install -e .

Tests

To run tests, execute the following from the root of the package.

pytest

Examples

There are several examples in examples demonstrating the usage of the package.

Project details


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cvxriskopt-0.1.4.tar.gz (30.4 kB view hashes)

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cvxRiskOpt-0.1.4-py3-none-any.whl (26.9 kB view hashes)

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