QA_Model | 2017 NLPCC DBQA Model （NLPCC比赛） & CCIR （搜狗搜索） & Tools Related

by xxx0624 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | QA_Model Summary

QA_Model is a Python library typically used in Institutions, Learning, Administration, Public Services applications. QA_Model has no bugs, it has no vulnerabilities and it has low support. However QA_Model build file is not available. You can download it from GitHub.

2017 NLPCC DBQA Model （NLPCC比赛）& CCIR （搜狗搜索）& Tools Related

Support

Quality

Security

License

Reuse

Support

QA_Model has a low active ecosystem.

It has 19 star(s) with 3 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 106 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of QA_Model is current.

Quality

QA_Model has 0 bugs and 0 code smells.

Security

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

QA_Model code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

QA_Model does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

QA_Model releases are not available. You will need to build from source code and install.

QA_Model has no build file. You will be need to create the build yourself to build the component from source.

QA_Model saves you 3867 person hours of effort in developing the same functionality from scratch.

It has 8239 lines of code, 319 functions and 83 files.

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

Top functions reviewed by kandi - BETA

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

Run LDAM
Calculate theta
Cache the word ID map
Estimate time series
This function is used for sampling the sample
Do preprocessing
Save to theta file
Calculate the phi coefficient
Compute the similarity measure layer
Compute cosine distance between two vectors
Computes the l1_distance between x and y
Compute the Euclidean distance between two tensors
Binarized block
Performs a bulit block A
Convolution layer
Compute similarity layer
Return a list of tokens from a set of sequences
Map a sequence of tokens
Compute the cosine attention layer
Compute the cosine distance between two vectors

Get all kandi verified functions for this library.

QA_Model Key Features

No Key Features are available at this moment for QA_Model.

QA_Model Examples and Code Snippets

No Code Snippets are available at this moment for QA_Model.

Community Discussions

Trending Discussions on QA_Model

NLP : Get 5 best candidates from QuestionAnsweringPipeline

Placeholder error tensorflow as backend in keras

QUESTION

NLP : Get 5 best candidates from QuestionAnsweringPipeline

Asked 2020-Jun-26 at 12:02

I am working on a French Question-Answering model using huggingface transformers library. I'm using a pre-trained CamemBERT model which is very similar to RoBERTa but is adapted to french.

Currently, i am able to get the best answer candidate for a question on a text of my own, using the QuestionAnsweringPipeline from the transformers library.

Here is an extract of my code.

...

ANSWER

Answered 2020-Jun-26 at 12:02

When calling your pipeline, you can specify the number of results via the topk argument. For example for the five most probable answers do:

Source https://stackoverflow.com/questions/62591068

QUESTION

Placeholder error tensorflow as backend in keras

Asked 2017-Mar-18 at 07:15

I am using keras 2.0.0 with tensorflow 1.0.1 as the backend. (python 2.7)

I am currently getting this error:

...

ANSWER

Answered 2017-Mar-18 at 07:15

There is not enough information to answer it . If I have to guess it could be because the input data type of variables of QA_model.fit() is not in the required format

Try changing this line

Source https://stackoverflow.com/questions/42867858

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

Vulnerabilities

No vulnerabilities reported

Install QA_Model

You can download it from GitHub.
You can use QA_Model 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

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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