semvec/pypi-packages huggingface dataset:
pydbus-stubs 0.0.3
Stubs for pydbus.
License: MIT
Requires Python: <4,>=3.9
Keywords: dbus, stubs, typing

# pydbus-stubs

[![QA](https://github.com/Tatsh/pydbus-stubs/actions/workflows/qa.yml/badge.svg)](https://github.com/Tatsh/pydbus-stubs/actions/workflows/qa.yml)
[![PyPI - Version](https://img.shields.io/pypi/v/pydbus-stubs)](https://pypi.org/project/pydbus-stubs/)
![GitHub tag (with filter)](https://img.shields.io/github/v/tag/Tatsh/pydbus-stubs)
![GitHub](https://img.shields.io/github/license/Tatsh/pydbus-stubs)
![GitHub commits since latest release (by SemVer including pre-releases)](https://img.shields.io/github/commits-since/Tatsh/pydbus-stubs/v0.0.3/master)

Stubs for `pydbus`.

## Installation

```shell
pip install pydbus-stubs
```
randomcov 0.0.15
Random covariance generation
License: MIT

# randomcov
Generating random covariance and correlation matrices. 


### Install 

    pip install randomcov 

or for latest

    pip install git+https://github.com/microprediction/randomcov.git
    
### Example

    from randomcov import random_covariance_matrix
    cov = random_covariance_matrix(n=50, corr_method='residuals', var_method='lognormal')

### Motivation

To collect standard but also novel correlation and covariance generation methods, in order to better understand when some estimation methods work better than others in different contexts: such as the construction of machine learning model ensembles, combinations of forecasts, or financial portfolios.