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ParlAI | evaluating AI models | Machine Learning library

 by   facebookresearch Python Version: 1.6.0 License: MIT

 by   facebookresearch Python Version: 1.6.0 License: MIT

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kandi X-RAY | ParlAI Summary

ParlAI is a Python library typically used in Artificial Intelligence, Machine Learning applications. ParlAI has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.
ParlAI currently requires Python3.8+ and Pytorch 1.6 or higher. Dependencies of the core modules are listed in requirements.txt. Some models included (in parlai/agents) have additional requirements. We strongly recommend you install ParlAI in a venv or conda environment. We do not support Windows at this time, but many users report success on Windows using Python 3.8 and issues with Python 3.9. We are happy to accept patches that improve Windows support.
Support
Support
Quality
Quality
Security
Security
License
License
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kandi-support Support

  • ParlAI has a medium active ecosystem.
  • It has 8767 star(s) with 1829 fork(s). There are 287 watchers for this library.
  • There were 1 major release(s) in the last 6 months.
  • There are 77 open issues and 1217 have been closed. On average issues are closed in 71 days. There are 14 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of ParlAI is 1.6.0
ParlAI Support
Best in #Machine Learning
Average in #Machine Learning
ParlAI Support
Best in #Machine Learning
Average in #Machine Learning

quality kandi Quality

  • ParlAI has 0 bugs and 0 code smells.
ParlAI Quality
Best in #Machine Learning
Average in #Machine Learning
ParlAI Quality
Best in #Machine Learning
Average in #Machine Learning

securitySecurity

  • ParlAI has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • ParlAI code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
ParlAI Security
Best in #Machine Learning
Average in #Machine Learning
ParlAI Security
Best in #Machine Learning
Average in #Machine Learning

license License

  • ParlAI is licensed under the MIT License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
ParlAI License
Best in #Machine Learning
Average in #Machine Learning
ParlAI License
Best in #Machine Learning
Average in #Machine Learning

buildReuse

  • ParlAI releases are available to install and integrate.
  • Build file is available. You can build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • ParlAI saves you 94378 person hours of effort in developing the same functionality from scratch.
  • It has 101490 lines of code, 5680 functions and 1117 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
ParlAI Reuse
Best in #Machine Learning
Average in #Machine Learning
ParlAI Reuse
Best in #Machine Learning
Average in #Machine Learning
Top functions reviewed by kandi - BETA

kandi has reviewed ParlAI and discovered the below as its top functions. This is intended to give you an instant insight into ParlAI implemented functionality, and help decide if they suit your requirements.

  • Setup the argument parser .
  • Adds command line options to the given parser .
  • Run the Parley action .
  • Argument specific to MTurk .
  • Generate context .
  • Convert model weight to a dictionary .
  • Setup Heroku client .
  • Evaluate wordstat .
  • Write dialog to file .
  • Fetch and concatenate results .

ParlAI Key Features

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Community Discussions

Trending Discussions on ParlAI
  • Why am I getting these tracebacks?
  • ModuleNotFoundError: No module named 'mephisto.core'
Trending Discussions on ParlAI

QUESTION

Why am I getting these tracebacks?

Asked 2021-Feb-13 at 10:40

I'm currently trying out ParlAi by following the quickstart from the documentation. I already installed ParlAi and currently on "View a task & train a model" but when I run the code parlai display_data --task babi:task10k:1, I got these tracebacks instead.

    Traceback (most recent call last):
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 584, in _build_master
    ws.require(__requires__)
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 901, in require
    needed = self.resolve(parse_requirements(requirements))
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 792, in resolve
    raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (urllib3 1.25.8 (c:\users\dean\anaconda3\lib\site-packages), Requirement.parse('urllib3~=1.25.9'), {'parlai'})

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\Dean\anaconda3\Scripts\parlai-script.py", line 6, in <module>
    from pkg_resources import load_entry_point
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 3253, in <module>
    @_call_aside
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 3237, in _call_aside
    f(*args, **kwargs)
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 3266, in _initialize_master_working_set
    working_set = WorkingSet._build_master()
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 586, in _build_master
    return cls._build_from_requirements(__requires__)
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 599, in _build_from_requirements
    dists = ws.resolve(reqs, Environment())
  File "C:\Users\Dean\anaconda3\lib\site-packages\pkg_resources\__init__.py", line 792, in resolve
    raise VersionConflict(dist, req).with_context(dependent_req)
pkg_resources.ContextualVersionConflict: (Sphinx 2.4.0 (c:\users\dean\anaconda3\lib\site-packages), Requirement.parse('Sphinx>=3.0'), {'sphinx-autodoc-typehints'})

From what I understand, it usually shows this when you get an error but I can't see where it says there is an error. I noticed in the first traceback a VersionConflict was raised. Does this mean I installed the wrong ParlAi version?

Any sort of help would be greatly appreciated. Thank you.

ANSWER

Answered 2021-Feb-13 at 10:40

Yes, these tracebacks indicate errors. The kinds of errors here are pkg_resources.ContextualVersionConflict which is kind of confusing because they don't have Error in their name. For these traceback blocks the last line is the error, the second to last is the way the error was raised.

pkg_resources.ContextualVersionConflict: (urllib3 1.25.8 (c:\users\dean\anaconda3\lib\site-packages), Requirement.parse('urllib3~=1.25.9'), {'parlai'})

Shows that you urllib3 is at 1.25.8, but it needs to be between 1.25.9 and 1.26.

pkg_resources.ContextualVersionConflict: (Sphinx 2.4.0 (c:\users\dean\anaconda3\lib\site-packages), Requirement.parse('Sphinx>=3.0'), {'sphinx-autodoc-typehints'})

means that your sphinx is 2.4.0 but should be greater than or equal to 3.0.

Source https://stackoverflow.com/questions/66183924

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ParlAI

You can download it from GitHub.
You can use ParlAI like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

Quick StartBasics: world, agents, teachers, action and observationsCreating a new dataset/taskList of available tasks/datasetsCreating a seq2seq agentList of available agentsModel zoo (list pretrained models)Running crowdsourcing tasksPlug into Facebook Messenger

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