realworldnlp | Example code for `` Real-World Natural Language Processing | Natural Language Processing library
kandi X-RAY | realworldnlp Summary
kandi X-RAY | realworldnlp Summary
realworldnlp is a Python library typically used in Artificial Intelligence, Natural Language Processing, Deep Learning applications. realworldnlp has no bugs, it has no vulnerabilities and it has low support. However realworldnlp build file is not available. You can download it from GitHub.
Example code for "Real-World Natural Language Processing"
Example code for "Real-World Natural Language Processing"
Support
Quality
Security
License
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Support
realworldnlp has a low active ecosystem.
It has 306 star(s) with 86 fork(s). There are 18 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 2 have been closed. On average issues are closed in 116 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of realworldnlp is current.
Quality
realworldnlp has 0 bugs and 0 code smells.
Security
realworldnlp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
realworldnlp code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
realworldnlp 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
realworldnlp releases are not available. You will need to build from source code and install.
realworldnlp has no build file. You will be need to create the build yourself to build the component from source.
realworldnlp saves you 553 person hours of effort in developing the same functionality from scratch.
It has 1294 lines of code, 75 functions and 23 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed realworldnlp and discovered the below as its top functions. This is intended to give you an instant insight into realworldnlp implemented functionality, and help decide if they suit your requirements.
- Calculate the cosine similarity
- Returns a list of simlex999 words
- Generates a discriminator batch
- Convert text to Disclass instance
- Generate a sequence of words
- Extracts tokens from a list of file paths
- Read vocabulary from file
- Reads a GloVE file
- Search for a given query
- Return the paths to train and validation files
- Write translations
- Get the most common synonyms for a given token
- Calculates the reward
- Read links from file
- Read sentences from file
- Read a set of sentences from a file
- Reads a Shakespeare file
- Calculates the reward for each sentence
- Check if an error is valid
- Build an index
- Get a batch of tokens from a generator
- Generates a list of tuples from sentences
Get all kandi verified functions for this library.
realworldnlp Key Features
No Key Features are available at this moment for realworldnlp.
realworldnlp Examples and Code Snippets
No Code Snippets are available at this moment for realworldnlp.
Community Discussions
Trending Discussions on realworldnlp
QUESTION
KeyError: 'predictions' When use SimpleSeq2SeqPredictor to predict string
Asked 2019-May-13 at 16:06
Please first search our GitHub repository for similar questions. If you don't find a similar example you can use the following template:
System (please complete the following information): - OS: Ubunti 18.04 - Python version: 3.6.7 - AllenNLP version: v0.8.3 - PyTorch version: 1.1.0
Question When I Try to predict string using SimpleSeq2SeqPredictor, It always show that
...ANSWER
Answered 2019-May-13 at 16:06solved
I forgot add model.eval() after load model.
Sorry
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install realworldnlp
You can download it from GitHub.
You can use realworldnlp 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.
You can use realworldnlp 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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