semvec/pypi-packages huggingface dataset:
sklearn-pmml 0.1.2
A library that allows serialization of SciKit-Learn estimators into PMML
License: MIT

[![Build Status](https://travis-ci.org/alex-pirozhenko/sklearn-pmml.svg)](https://travis-ci.org/alex-pirozhenko/sklearn-pmml)
[![Join the chat at https://gitter.im/alex-pirozhenko/sklearn-pmml](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/alex-pirozhenko/sklearn-pmml?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)

# sklearn-pmml

A library that allows serialization of SciKit-Learn estimators into PMML

# Installation
The easiest way is to use pip:
```
pip install sklearn-pmml
```

# Supported models
- DecisionTreeClassifier
- DecisionTreeRegressor
- GradientBoostingClassifier
- RandomForestClassifier

# PMML output

## Classification
Classifier converters can only operate with categorical outputs, and for each categorical output variable ```varname``` 
the PMML output contains the following outputs:
- categorical ```varname``` for the predicted label of the instance
- double ```varname.label``` for the probability for a given label

## Regression
Regression model PMML outputs the numeric response variable named as the output variable
ipython-pip-magics 1.0.1
%pip magics for IPython
License: MIT
Keywords: ipython pip

ipython_pip_magics: %pip magics for IPython
===========================================

This project provides IPython "magics" for working with pip.

To load the IPython magics, do (in IPython):

   %load_ext ipython_pip


The primary magic is %pip. This works (almost) exactly
like pip from the operating system command line.

Do:
    %pip --help

to get an overview.

Note: when doing '%pip uninstall ...', use the -y option
to avoid being prompted (which does not work using %pip).
 
Other magics:

   %pip_upgrade_all

Attempt to upgrade all packages

   %pip_upgrade_all_user
pydriver 1.0.1
A framework for training and evaluating object detectors and classifiers in road traffic environment.
License: MIT

PyDriver
========

.. image:: doc/_images/000019_front.png

What is PyDriver?
  PyDriver is a Python (2.7, 3.x) framework for training and evaluating object detectors
  and classifiers in road traffic environment. It aims at researchers experimenting
  with learning based 3D object detection, classification and tracking.

What can I do with PyDriver?
  PyDriver helps you with following tasks:

  - read data from standard datasets (currently integrated: `KITTI <http://www.cvlibs.net/datasets/kitti/>`_)
  - reconstruct 3D scene from stereo images, detect/remove ground plane, restrict viewport etc.
  - detect 3D keypoints and extract 3D feature descriptors
  - train classifiers available in `scikit-learn <http://scikit-learn.org/>`_ (support vector machines, decision trees and many more)
  - visualize point clouds, extracted keypoints and detections using `Point Cloud Library <http://pointclouds.org/>`_
  - evaluate produced detections with respect to dataset ground truth

  Of course, you can write your own modules and enhancements such as interfaces to
  your custom dataset or implement novel feature descriptors. The point of PyDriver
  is to provide a basic pipeline for object detection which you can enhance with your
  own algorithms without reimplementing the routine stuff.

Which licence does PyDriver use?
  PyDriver is subject to the MIT licence.

How do I install PyDriver?
  `PyDriver installation documentation <http://lpltk.github.io/pydriver/installation.html>`_

Where are the docs?
  `PyDriver documentation <http://lpltk.github.io/pydriver/>`_

Where is the source?
  The most current development version is available here: http://github.com/lpltk/pydriver
cz-urnnbn-api 0.2.6
API for the Czech URN:NBN resolver (https://resolver.nkp.cz).
License: MIT

Introduction
============

.. image:: https://badge.fury.io/py/cz_urnnbn_api.png
    :target: https://pypi.python.org/pypi/cz_urnnbn_api

.. image:: https://img.shields.io/pypi/dm/cz-urnnbn-api.svg
    :target: https://pypi.python.org/pypi/cz_urnnbn_api

.. image:: https://readthedocs.org/projects/cz-urnnbn-api/badge/?version=latest
    :target: http://cz-urnnbn-api.readthedocs.org/

.. image:: https://img.shields.io/pypi/l/cz-urnnbn-api.svg

.. image:: https://img.shields.io/github/issues/edeposit/cz-urnnbn-api.svg
    :target: https://github.com/edeposit/cz-urnnbn-api/issues

Python API for czech `URN:NBN resolver <https://resolver.nkp.cz/>`_ (`documentation <https://code.google.com/p/urnnbn-resolver-v2/>`_).

URN\:NBN is system for registration and assigning of special codes for electronic publications (it may look like this: ``urn:nbn:cz:edep-00000s``). The codes can be then used to resolve (translate) the code to metadata information about publication and/or to get pointer to actual digital instance of the publication (=file).


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

Full module documentation and description can be found at Read the Docs:

- http://cz-urnnbn-api.readthedocs.org

Contributors
============

- Bystroushaak <bystrousak@kitakitsune.org>, Developer

Changelog
=========

0.2.6
-----
    - Added @first_or_none() decorator.
    - Fixed #24 - bug in .get_title().
    - Added more test files.

0.2.5
-----
    - Small preventive improvement.

0.2.4
-----
    - Fixed bug in ``MonographPublication.get_year()``.

0.2.3
-----
    - Added requirements to requests.

0.2.2
-----
    - Fixed another bug in build system.

0.2.1
-----
    - Fixed bug in build system.

0.2.0
-----
    - Added docstrings.
    - Added integration tests.
    - Added `sphinx documentation <http://cz-urnnbn-api.readthedocs.org/`_, README.

0.1.0
-----
    - Project created.
Doxhooks 0.6.0
Abstract away the content and maintenance of files in your project.
License: MIT
Keywords: abstract build code document file hook preprocessor project resource source text

Doxhooks helps you to write and maintain the files in your project by letting you write abstractions for your content and tasks. You can abstract away your duplicate content, boilerplate code, debug code, modules, templates, data, cross-references, file paths, URLs, build tasks, etc. You can even abstract away the preprocessor logic by defining your own preprocessor mini-languages.

Beginners can start using Doxhooks by customising the example scripts. Users with knowledge of the Python programming language can extend Doxhooks with their own code.

* `Features <http://doxhooks.readthedocs.org/en/latest/features>`_
* `Examples <http://doxhooks.readthedocs.org/en/latest/examples>`_
* `Getting started <http://doxhooks.readthedocs.org/en/latest/getting_started>`_
* `Documentation <http://doxhooks.readthedocs.org/>`_
* `Source code <https://github.com/nre/doxhooks>`_
* `Help, bugs, suggestions <https://github.com/nre/doxhooks/issues>`_
* `Release updates <https://github.com/nre/doxhooks/releases.atom>`_
gdrv 0.2.2
Another google drive command line interface program
License: MIT

gdrv
============
Another google drive command line interface program written in Python.

Author
============
Yu Mao Kao (yumaokao)

Version
=======
0.2.1

Usage
=====

Installation
-----------
* Install with pip/pip2
.. code-block:: sh

  $ sudo pip2 install -U gdrv

Quick Start
-----------
* Open the oauth link and grant google drive permission for this gdrv.
.. code-block:: sh

  $ gdrv init

* simple sftp/lftp like ftp command line mode
.. code-block:: sh

  $ gdrv ftp
  gdrv>
  gdrv> help
  gdrv> <Tab>
  gdrv> ls
  gdrv> pull <Tab>

* List files and directories in your google drive root directory.
.. code-block:: sh

  $ gdrv list /

* Make a new directory 'uploads' in your google drive root directory.
.. code-block:: sh

  $ gdrv mkdir /uploads

* Push a local file 'LOCALFILE' to your google drive 'uploads' directory.
.. code-block:: sh

  $ gdrv push LOCALFILE /uploads

* Pull files with a printer-liked prompt to $PWD.
.. code-block:: sh

  $ gdrv pull /uploads/

* Throw files to your google drive trash can.
.. code-block:: sh

  $ gdrv trash /uploads/

* Share the file to 'everyone' who has the url link of this file.
.. code-block:: sh

  $ gdrv share /uploads/LOCALFILE
  $ gdrv url /uploads/LOCALFILE

* Online playing a media file.
.. code-block:: sh

  $ gdrv pull /uploads/SOME.mp4 -o - | mplayer -

Reference
============
.. _gdrive: https://github.com/prasmussen/gdrive

.. vim:fileencoding=UTF-8:ts=4:sw=4:sta:et:sts=4:ai
tmcpy 0.3.7
淘宝平台消息服务客户端 for Python
License: MIT
Keywords: taobao tmc python

tmcpy
=======================

淘宝平台消息服务python版本

Usage:
```python
import logging

from tmcpy import TmcClient

logging.basicConfig(level=logging.DEBUG)

tmc = TmcClient('ws://mc.api.tbsandbox.com/', 'appkey', 'appsecret', 'default',
    query_message_interval=50)


def print1():
    print 'on_open'


tmc.on("open", print1)
try:
    ioloop.IOLoop.instance().start()
except KeyboardInterrupt:
    pass
finally:
    tmc.close()
```