semvec/pypi-packages huggingface dataset:
vie 0.0.2
A package to estimate variable importance
Requires Python: >=3.7

# Variable Importance Estimation Package
This is a simple and unified package for nonlinear variable importance estimation that incorporates uncertainty in the prediction function and is compatible with a wide range of machine learning models (e.g., tree ensembles, kernel methods, neural networks, etc). Below please find the detailed explanation of the package resources.

* Github repo: https://github.com/wdeng5120/vie
* PyPi: https://pypi.org/project/vie/0.0.2/

## Prerequisites
For Windows, it is recommended to run this app on a Linux emulation layer such as the Git Bash terminal. See the "Instructions for Git Bash" section for details. In addition to Git Bash, make sure you also have Python3 and Pip3 as described below.

For Mac and Linux, this app should work out of the box on the Linux or Mac terminal, but make sure you also have Python3 and Pip3 as described below.

Requirements:

* Python3 (version 3.7 or greater) - Install Python3 here: [https://www.python.org/downloads/]. Check version with: ```python3 --version```.
* Pip3 (version 20.2.1 or greater) - Make sure to install python3-pip in order to use pip install. Check version with: ```pip3 --version```.

## Installation
There are a couple of options to install this app:

* Pip Install - This app is hosted on PyPi and can be installed with the following command:
```
pip3 install vie
```
* Local Install - Alternatively, you can download or git clone the Github repo and install it locally with the following:
```
git clone https://github.com/wdeng5120/vie.git
cd vie
pip3 install -e .
```
To uninstall this app:
```
pip3 uninstall vie
```
* If you used the local install option, you will also want to delete the ```.egg-info``` file located in the ```vie/``` directory of the package. This gets created automatically with ```pip3 install -e .```.

## Usage
We provide a colab tutorial (tutorial.ipynb) on how to use the package.
netatmo-connect 0.1.1
A simple Python wrapper of the Netatmo Connect API
Requires Python: >=3.7

# netatmo-connect

This is a simple Python 3 wrapper of the Netatmo Connect API.

It contains user authentication and nearly the full functionality of the Netatmo Connect API.

## Installation

You can install the library using [pip](https://pip.pypa.io/en/stable/):

`pip install netatmo_connect`

## Preparations
* Netatmo account
* Netatmo Connect App ([read more](https://dev.netatmo.com/apps/createanapp#form))
* At least one Netatmo device

## How to use
```python
# import the API
from netatmo_connect.client import Client
from netatmo_connect.station import Station

# create a client
c = Client(
    {
        "client_id": "1234567890abcdef12345678",
        "client_secret": "ABCdefg123456hijklmn7890pqrs",
        "username": "user@mail",
        "password": "password",
    }
)

# add a weather station
ws = Station.Weather(c)

# getstationsdata returns a requests.Response object
print(ws.getstationsdata("70:ee:50:XX:XX:XX").text) # turn it into text using the '.text' attribute
```

## Note
This is **not** in any way an official software made by Netatmo. I've made this purely for personal use and decided to share it to the community.

This is still a very early version and is still missing all the documentation. I would recommend only using this library if you know your way around Python classes. Feel free to edit the code to your needs.