ellipsis-baselines | A Simple Transfer Learning Baseline for Ellipsis Resolution
kandi X-RAY | ellipsis-baselines Summary
kandi X-RAY | ellipsis-baselines Summary
ellipsis-baselines is a Python library. ellipsis-baselines has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
A Simple Transfer Learning Baseline for Ellipsis Resolution
A Simple Transfer Learning Baseline for Ellipsis Resolution
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Quality
Security
License
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Support
ellipsis-baselines has a low active ecosystem.
It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
ellipsis-baselines has no issues reported. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of ellipsis-baselines is current.
Quality
ellipsis-baselines has no bugs reported.
Security
ellipsis-baselines has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ellipsis-baselines 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.
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ellipsis-baselines releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed ellipsis-baselines and discovered the below as its top functions. This is intended to give you an instant insight into ellipsis-baselines implemented functionality, and help decide if they suit your requirements.
- Train model
- Calculate the maximum value of a prediction
- Evaluate a model
- Load and cache examples
- Perform generic validation
- Validate a single model
- Run precision - recall - recall curve
- Process a batch of documents
- List of NER entities
- Splits text into paragraphs
- Create a loader for data
- Update the network
- Run the prediction
- Process a dataset
- Compute the count matrix
- Run precision - recall curve
- Validate a single classification
- Performs the forward projection
- Read files into a database
- Validate a single example
- Tokenize text
- Evaluate the given model
- Convert to squad format
- Creates a ConLL output
- Set required parameters
- Predict a batch of documents
- Arguments for training
- Process question answers
- Perform a forward computation
Get all kandi verified functions for this library.
ellipsis-baselines Key Features
No Key Features are available at this moment for ellipsis-baselines.
ellipsis-baselines Examples and Code Snippets
No Code Snippets are available at this moment for ellipsis-baselines.
Community Discussions
No Community Discussions are available at this moment for ellipsis-baselines.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install ellipsis-baselines
You can download it from GitHub.
You can use ellipsis-baselines 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 ellipsis-baselines 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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