semvec/pypi-packages huggingface dataset:
mgc 0.0.1
A comprehensive independence testing package
License: MIT

# mgc

[![Build Status](https://travis-ci.org/sampan501/mgc.svg?branch=master)](https://travis-ci.org/sampan501/mgc)
[![codecov](https://codecov.io/gh/sampan501/mgc/branch/master/graph/badge.svg)](https://codecov.io/gh/sampan501/mgc)
[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)

`mgc` (pronounced "Magic") is an open-source software package for independence and k-sample testing.

- **Installation Guide:** [https://mgc.neurodata.io/install.html](https://mgc.neurodata.io/install.html)
- **Documentation:** [https://mgc.neurodata.io/](https://mgc.neurodata.io/)
- **Tutorials:**
- **Source Code:** [https://github.com/neurodata/mgc/tree/master/mgc](https://github.com/neurodata/mgc/tree/master/mgc)
- **Issues:** [https://github.com/neurodata/mgc/issues](https://github.com/neurodata/mgc/issues)
- **Contribution Guide:**

`mgc` intends to be a comprehensive independence and k-sample testing package and runs on all major versions of operating systems. It also includes novel tests not found in other packages that operate on multivariate data. It is quick to install and free of charge. If you need to use high dimensional independence or k-sample testing, be sure to give `mgc` a try!
pyroc 0.1.1
Python tools for working with the AUROC
License: MIT
Keywords: AUROC AUC DeLong p-value

pyroc
=========

pyroc is a package for analyzing receiver operator characteristic (ROC) curves.
It includes the ability to statistically compare the area under the ROC (AUROC) for two or more classifiers.

Quick start
-----------

Install:

    pip install pyroc

Use:

    import pyroc
    import numpy as np

    pred = np.random.rand(100) 
    target = np.round(pred)
    # flip 10% of labels
    target[0:10] = 1 - target[0:10]
    W = pyroc.auroc(target, pred)

    # second prediction
    pred2 = pred
    pred2[10:20] = 1 - pred2[10:20]
    auroc, ci = pyroc.auroc_ci(target, [pred, pred2])
    print(auroc)
    print(ci)

Documentation
-------------

Documentation is available on `readthedocs <http://pyroc.readthedocs.io/en/latest/>`_. An executable demonstration of the package is available on `GitHub as a Jupyter Notebook <https://github.com/alistairewj/pyroc/blob/master/usage.ipynb>`_.

Installation
------------

To install the package with pip, run::

    pip install pyroc

To install this package with conda, run::

    conda install -c conda-forge pyroc
postnl-api 1.2.3
Python wrapper for the PostNL API, a way to track packages and letters.
License: MIT

# python-postnl-api
(Unofficial) Python wrapper for the PostNL API (Dutch Postal Services), which can be used to track packages and letter deliveries. You can use your [jouw.postnl.nl](http://jouw.postnl.nl) credentials to use the API.

## Quick test
When installed:
```python
python -m postnl_api.test_postnl_api USERNAME PASSWORD
```

Or running directly:
```python
test_postnl_api.py USERNAME PASSWORD
```

## Code Example
```python
from postnl_api import PostNL_API

# Login using your jouw.postnl.nl credentials
postnl = PostNL_API('email@domain.com', 'password')

# Retrieve relevant incoming packages
print("Getting relevant deliveries")
rel_deliveries = postnl.get_relevant_deliveries()
for delivery in rel_deliveries:
    print(delivery)

# Retrieve all incoming packages
print("Getting all deliveries")
all_deliveries = postnl.get_deliveries()
for delivery in all_deliveries:
    print(delivery)

# Retrieve sent packages
print("Getting all distributions (sent packages)")
distributions = postnl.get_distributions()
for distribution in distributions:
    print(distribution)

# Retrieve incoming letters
print("Getting all letters, if that function is turned on")
letters = postnl.get_letters()
for letter in letters:
    print(letter)
```

## Miscellaneous
[This blogpost](https://imick.nl/reverse-engineering-the-postnl-consumer-api/) describes the process of figuring out the API endpoints and shows how this can be done for other API's.

## Changelog
See the [CHANGELOG](./CHANGELOG.md) file.

## Contributors
- [@eavanvalkenburg](https://github.com/eavanvalkenburg)
- [@peternijssen](https://github.com/peternijssen)
- [@IcyPalm](https://github.com/IcyPalm)
- [@0x00-0xFF](https://github.com/0x00-0xFF)

## License
MIT