cdQA | ⛔ An End-To-End Closed Domain Question | Natural Language Processing library

by cdqa-suite Python Version: bert_qa License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | cdQA Summary

cdQA is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning, Pytorch, Bert applications. cdQA has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install cdQA' or download it from GitHub, PyPI.

An End-To-End Closed Domain Question Answering System. Built on top of the HuggingFace transformers library.

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Quality

Security

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Support

cdQA has a low active ecosystem.

It has 589 star(s) with 185 fork(s). There are 37 watchers for this library.

It had no major release in the last 12 months.

There are 56 open issues and 156 have been closed. On average issues are closed in 13 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cdQA is bert_qa

Quality

cdQA has 0 bugs and 48 code smells.

Security

cdQA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cdQA code analysis shows 0 unresolved vulnerabilities.

There are 4 security hotspots that need review.

License

cdQA is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

cdQA releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

cdQA saves you 1439 person hours of effort in developing the same functionality from scratch.

It has 3214 lines of code, 118 functions and 22 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train the model
Create linear schedule with warmup
Set the model to the given device
Run predictions on each feature
Writes prediction results
Compute softmax
Get the n_best_size n_best_size
Filters the paragraphs according to the given criteria
Predict the given query
Fit the metadata to the given dataframe
Expand paragraph columns
Convert input data into examples
Convert examples to features
Improve the sQuAD annotation span
Checks if the document spans with the given position
Fit the reader
Fit the model
Apply the transform method
Compute f1 score
Normalize an answer
Fit the vectorizer to the dataframe
Calls the API endpoint
Generate a sample of squads
Predict results
Dump the reader
Set the sensor

Get all kandi verified functions for this library.

cdQA Key Features

No Key Features are available at this moment for cdQA.

cdQA Examples and Code Snippets

No Code Snippets are available at this moment for cdQA.

Community Discussions

Trending Discussions on cdQA

Error in installation of Pandas on Ubuntu 18.04

ERROR: Could not find a version that satisfies the requirement torch==1.2.0 (from cdqa)

Is it possible, and how to limit kubernetes job to create a maxium number of pods if always fail?

QUESTION

Error in installation of Pandas on Ubuntu 18.04

Asked 2020-Dec-14 at 07:16

I am installing cdqa through the command "pip3 install cdqa", in pycharm virtual environment, but during installation I get this error:

command x86_64-linux-gnu-gcc failed with exit status 1 ERROR: Failed building wheel for pandas

I tried installing pandas separately and it successfully installs Installing collected packages: pandas Successfully installed pandas-1.1.5

When i again install cdqa, it stucks on "Building wheels for collected packages: pandas Building wheel for pandas (setup.py)"
and gives the same error.

Tried on Jupiter Notebook and Pycharm both.

I am on Ubuntu 18.04 desktop version. Python 3.8.6

Any suggestions?

...

ANSWER

Answered 2020-Dec-14 at 07:16

The cdqa repo says

⛔ [NOT MAINTAINED] This repository is no longer maintained, but is being kept around for educational purposes. If you want a maintained alternative to cdQA check out: https://github.com/deepset-ai/haystack

so you should probably switch to that.

As for why you're getting this issue, cdqa is locked to pandas==0.25.0, which is positively ancient, and as such there is no Python 3.8 Linux binary wheel, which means Python is attempting to build it from source. That generally fails unless you've got all the development packages you need. When you just pip install pandas, you're getting a newer version from a binary wheel you don't need to compile.

Source https://stackoverflow.com/questions/65284956

QUESTION

ERROR: Could not find a version that satisfies the requirement torch==1.2.0 (from cdqa)

Asked 2020-Mar-10 at 15:24

pip install cdqa

ERROR: Could not find a version that satisfies the requirement torch==1.2.0 (from cdqa) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)

ERROR: No matching distribution found for torch==1.2.0 (from cdqa)

Any one came across this error.How can we resolve this error ?

...

ANSWER

Answered 2020-Mar-10 at 15:24

I got this working by executing the following command from my anaconda command prompt

Source https://stackoverflow.com/questions/60603720

QUESTION

Is it possible, and how to limit kubernetes job to create a maxium number of pods if always fail?

Asked 2019-Jan-02 at 23:40

As a QA in our company I am daily user of kubernetes, and we use kubernetes job to create performance tests pods. One advantage of job, according to the docs, is

to create one Job object in order to reliably run one Pod to completion

But in our tests this feature will create infinite pods if previous ones fail, which will occupy resources of our team's shared cluster, and deleting such pods will take a lot of time. see this image:

Currently the job manifest is like this:

...

ANSWER

Answered 2019-Jan-02 at 03:07

You probably didn't set restartPolicy: Never in your pod spec, add that and I would expect it matches your expected behaviors better.

Source https://stackoverflow.com/questions/54000757

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

Vulnerabilities

No vulnerabilities reported

Install cdQA

You can install using 'pip install cdQA' or download it from GitHub, PyPI.
You can use cdQA 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.