semvec/pypi-packages huggingface dataset:
onnawscfn 0.0.6
Convenience Python module for AWS CloudFormation

# OzNetNerd AWS CloudFormation

Convenience Python module for AWS CloudFormation

# Documentation

Module documentation & examples can be found [here.](https://onnawscfn.oznetnerd.com/)


# Contact

* Blog: [oznetnerd.com](https://oznetnerd.com)
* Email: will@oznetnerd.com
LASExplanation 0.0.1
This package is a brief wrap-up toolkit built based on 2 explanation packages: LIME and SHAP. The package contains 2 explainers: LIMEBAG and SHAP. It takes data and fitted models as input and returns explanations about feature importance ranks and/or weights. (etc. what attributes matter most within the prediction model).
Requires Python: >=3

# LAS
This package is a brief wrap-up toolkit built based on 2 explanation packages: LIME and SHAP. The package contains 2 explainers: LIMEBAG and SHAP. It takes data and fitted models as input and returns explanations about feature importance ranks and/or weights. (etc. what attributes matter most within the prediction model).

## rq1.py
The demo runs LIMEBAG on a default dataset. It generates and presents explanations about feature importance ranks and weights for all testing data points. Can be called by LIMEBAG.demo1()

## rq2.py
The demo uses the explanations returned from LIMEBAG to run an effect size test. A summary of feature importance ranks and weights will be generated and presented as output. Can be called by LIMEBAG.demo2()
pacifica-cli 0.5.2
Pacifica CLI Tool

# Pacifica CLI Uploader

![PyPi](https://img.shields.io/pypi/v/pacifica-cli.svg)
![Read the Docs](https://readthedocs.org/projects/pacifica-cli/badge/?version=latest)
[![Build Status](https://travis-ci.org/pacifica/pacifica-cli.svg?branch=master)](https://travis-ci.org/pacifica/pacifica-cli)
[![Build Status](https://ci.appveyor.com/api/projects/status/0ddinx1bdfroptf7?svg=true)](https://ci.appveyor.com/project/dmlb2000/pacifica-cli)
[![Code Climate](https://codeclimate.com/github/pacifica/pacifica-cli/badges/gpa.svg)](https://codeclimate.com/github/pacifica/pacifica-cli)
[![Issue Count](https://codeclimate.com/github/pacifica/pacifica-cli/badges/issue_count.svg)](https://codeclimate.com/github/pacifica/pacifica-cli)
[![Docker Stars](https://img.shields.io/docker/stars/pacifica/cli.svg?maxAge=2592000)](https://cloud.docker.com/swarm/pacifica/repository/docker/pacifica/cli/general)
[![Docker Pulls](https://img.shields.io/docker/pulls/pacifica/cli.svg?maxAge=2592000)](https://cloud.docker.com/swarm/pacifica/repository/docker/pacifica/cli/general)
[![Docker Automated build](https://img.shields.io/docker/automated/pacifica/cli.svg?maxAge=2592000)](https://cloud.docker.com/swarm/pacifica/repository/docker/pacifica/cli/builds)

Python CLI for Pacifica Core Services. This uploader wraps the
[Pacifica Python Uploader](https://github.com/pacifica/pacifica-python-uploader) and
[Pacifica Python Downloader](https://github.com/pacifica/pacifica-python-downloader)
libraries for Windows or Linux command line.

## Documentation

For installation, configuration and usage documentation please
refer to the [Read the Docs](https://pacifica-cli.readthedocs.io)
documentation.

* [Installation](docs/installation.md) documentation.
* [Configuration](docs/configuration.md) documentation.
* [CLI Options](docs/clioptions.rst) documentation.
* [Examples](docs/exampleusage.md) documentation.
vegav1 0.1
A Lightweight Deep/Machine Learning Library For Easy Usage

# Welcome To Vega

![](.gitbook/assets/wega.png)

Only Turkish and English documents are available for now.

Henüz yalnızca Türkçe ve İngilizce dökümanlar mevcuttur.

please visit for manual => [Manual Page](http://vega.aksoylu.space)
prepl 1.0.1
Rerun command on source change
Requires Python: >=3.6

Command line tool for rerunning a command when file dependencies change.

## Example usage
- `prepl pytest` will automatically run your pytest tests as source files are saved.
- `prepl -c 'make && ./a.out'` will build and run an executable as you save source files.

## Description
prepl monitors files that were accessed by the command process and reruns it when any of the files change. prepl can be run  with either a single command or with a command string that is executed in a shell. The second form is useful when you want to run multiple commands (like build a project, then run some tests).
```
usage: prepl [-h] [-c COMMAND_STRING] ...

Autorun command on file change.

positional arguments:
  COMMAND ...        the command to run and any arguments

optional arguments:
  -h, --help         show this help message and exit
  -c COMMAND_STRING  command string to run in shell (alternative to COMMAND ...)
```

## Installation
prepl current supports Linux. macOS may be supported in the future. prepl requires Python 3.6+.

You can install the latest release with
```
pip3 install prepl
```

## Motivation
While developing software and writing tests it is typically advantageous to immediately see the result of code changes while they are being made. Some testing frameworks like jest rerun tests when source files are changed but they are limited to the languages that the testing framework supports. Other tools like inotifywait, fswatch, entr, etc. provide a generic interface for rerunning a command when files change, but these tools require the files to monitor to be explicitly specified. This can be cumbersome because in addition to specifying all the files to monitor, it is also typically necessary to exclude build directories and temporary backup files created by editors, for instance, that may inadvertently trigger the command to be rerun. prepl provides its functionality for any programming language without requiring an explicit list to files to monitor.

## Example Development Setup
```
# Note: the repository's submodules must be cloned
git clone --recurse-submodules git@github.com:9pt7/prepl.git

# Setup a virtual environment...
python3 -m venv prepl
cd prepl
source ./bin/activate

# Install the package in editable mode with development dependencies
pip3 install --editable .[dev]

# Run tests
pytest prepl

# Test packaging with tox
tox
```