balkian/senpy
1
0
Fork 0
mirror of https://github.com/gsi-upm/senpy synced 2024-11-21 07:42:28 +00:00
Code Issues Releases Wiki Activity
master
senpy/example-plugins
History
J. Fernando Sánchez 9bb980f6b4 make noop plugin optional
2023-09-26 19:31:50 +02:00
..
sklearn update to pass tests with community plugins 2023-09-22 23:28:19 +02:00
async_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
basic_analyse_entry_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
basic_box_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
basic_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
basic.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
configurable_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
dummy_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
dummy_required_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
emorand_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
mynoop.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
mynoop.senpy make noop plugin optional 2023-09-26 19:31:50 +02:00
parameterized_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
rand_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00
README.md Multiple changes in the API, schemas and UI 2019-04-04 10:00:24 +02:00
sleep_plugin.py Add headers and minor fixes 2019-07-17 16:29:30 +02:00

README.md

This is a collection of plugins that exemplify certain aspects of plugin development with senpy.

The first series of plugins are the basic ones. Their starting point is a classification function defined in basic.py. They all include testing and running them as a script will run all tests. In ascending order of customization, the plugins are:

  • Basic is the simplest plugin of all. It leverages the SentimentBox Plugin class to create a plugin out of a classification method, and MappingMixin to convert the labels from (pos, neg) to (marl:Positive, marl:Negative
  • Basic_box is just like the previous one, but replaces the mixin with a custom function.
  • Basic_configurable is a version of basic with a configurable map of emojis for each sentiment.
  • Basic_parameterized like basic_info, but users set the map in each query (via extra_parameters).
  • Basic_analyse_entry uses the more general analyse_entry method and adds the annotations individually.

In rest of the plugins show advanced topics:

  • mynoop: shows how to add a definition file with external requirements for a plugin. Doing this with a python-only module would require moving all imports of the requirements to their functions, which is considered bad practice.
  • Async: a barebones example of training a plugin and analyzing data in parallel.

All of the plugins in this folder include a set of test cases and they are periodically tested with the latest version of senpy.

Additioanlly, for an example of stand-alone plugin that can be tested and deployed with docker, take a look at: lab.gsi.upm.es/senpy/plugin-example bbm