This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description
Statistical Engine for Text Understanding (SETU)

This package provides wrapper around statistical models created with
SciKit-Learn Laboratory (SKLL) as well as an easy to use API based
on Flask.


pip install halef-SETU

Getting started with the API

Create a 'config.cfg' file like the following:

DEBUG = False

Set the location of this configuration file inside an environment variable:

export HALEF_SETU_SETTINGS=<path to="" config.cfg="">

Create the 'slu_models.yaml' file:

model_dir: <path to="" directory="" containing="" model="" and="" vocab="" files=""/>
reject_class: <name_of_the_class_for_nomatch>
- <item_name>:
- state: <state_name>
model: <slu_model_file_name>.model
vocab: <slu_model_vocab_file_name>.vocab
- <class_1_name>
- <class_2_name>
- <class_3_name>
- state: <some_other_state_name>
model: <some_other_slu_model_file_name>.model
vocab: <some_other_slu_vocab_file_name>.vocab
- <some_other_class_1>
- <some_other_class_2>

Create a file to start the API. This can be hosted like any other Flask application.
A quick example would be:
from halef_setu_api import app

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
halef-SETU-0.0.4.tar.gz (8.7 kB) Copy SHA256 Checksum SHA256 Source Sep 27, 2016

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