cf-predict

Cloud Foundry Python Predictive API Boilerplate

About

The cf-predict microservice is part of a pluggable ecosystem of cloud native data science microservices for Cloud Foundry.

Data Science Microservices

Getting Started

Requirements

Python 3.4+

Installation

cf-predict can be installed with pip:

$ pip install cf-predict

or directly from the source code:

$ git clone https://github.com/ronert/cf-predict.git
$ cd cf-predict
$ python setup.py install

File Structure

Basic Usage

After installation, the package can imported:

$ python
>>> import cf_predict
>>> cf_predict.__version__

Development

Make environment

make env

Development Installation

make develop

System Installation

make install

Run All Tests

make tests

Unit Tests

make test-unit

Integration Tests

make test-int

Read Coverage

make read-coverage

Run CI

make ci

Static Analaysis

make check

Watch

make watch

Release

make upload

Documentation

Read the full documentation here.

Revision History

0.0.0 (YYYY/MM/DD)

Development Status
- 1 - Planning
Natural Language
- English
Operating System
- OS Independent
Programming Language

Release files for cf-predict 0.1.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for cf-predict 0.1.2
File	Size	Uploaded
cf-predict-0.1.2.tar.gz	8.3 kB	Jun 21, 2016	Details

Built distribution (wheel)

Table of built distributions (wheels) for cf-predict 0.1.2
File	Interpreter	ABI	Platform	Reset
cf_predict-0.1.2-py3-none-any.whl 11.0 kB Jun 21, 2016	Python 3	none	any	Details

Total release size: 19.3 kB

Release files / cf-predict-0.1.2.tar.gz

Download URL	cf-predict-0.1.2.tar.gz
Size	8.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`ee03c0817dfd658b6fd39446cec9cc0432063c38bf14cfaf2fc690a2e3ca8266`
BLAKE2b-256 checksum How to use checksums	`05ffdbd0e81780f5da6aff1f54770ac79fcc32471989ec0d0481df30287460b1`
Upload date	Jun 21, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No

Release files / cf_predict-0.1.2-py3-none-any.whl

Download URL	cf_predict-0.1.2-py3-none-any.whl
Size	11.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9cd3a32b9933cbfde92f3e81f288b6532d8d4c6bfea80f05064c8f6379d66987`
BLAKE2b-256 checksum How to use checksums	`e155b62db1ce2a406d717d2a66e836ff502987618f8abe3503803f94f7d12054`
Upload date	Jun 21, 2016
Uploaded using Trusted Publishing? What is trusted publishing?	No