IncreProtoNet | phase Prototypical Network Model for Incremental Few-shot
kandi X-RAY | IncreProtoNet Summary
kandi X-RAY | IncreProtoNet Summary
IncreProtoNet is a Python library. IncreProtoNet has no bugs, it has no vulnerabilities and it has low support. However IncreProtoNet build file is not available. You can download it from GitHub.
Inplementation of Our paper "A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification" in COLING 2020.
Inplementation of Our paper "A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification" in COLING 2020.
Support
Quality
Security
License
Reuse
Support
IncreProtoNet has a low active ecosystem.
It has 10 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of IncreProtoNet is current.
Quality
IncreProtoNet has no bugs reported.
Security
IncreProtoNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
IncreProtoNet 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
IncreProtoNet releases are not available. You will need to build from source code and install.
IncreProtoNet has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed IncreProtoNet and discovered the below as its top functions. This is intended to give you an instant insight into IncreProtoNet implemented functionality, and help decide if they suit your requirements.
- Base class
- Computes the distance between two vectors
- Generate a token embedding
- Add item to the dictionary
- Compute the accuracy of a sentence
- Compute the distance between two tensors
- Compute the accuracy between pred and label
- Compute the loss for a given label
- Forward sentence embedding
- Generate base prototype
- Merge two words using MetaNet
- Compute the accuracy of the prediction
- Train model
- Evaluate the model
- Return the item in x
- Load a pretraining model
- Load a checkpoint from a file
- Returns the path to the project root
- Train the model
- Return the item of x
- Loads the given checkpoint
- Split a train and validation test
- Construct a mapping from rels to index
- Splits the train and test sets
- Return the suffix of a file
- Return the path to the project root
Get all kandi verified functions for this library.
IncreProtoNet Key Features
No Key Features are available at this moment for IncreProtoNet.
IncreProtoNet Examples and Code Snippets
No Code Snippets are available at this moment for IncreProtoNet.
Community Discussions
No Community Discussions are available at this moment for IncreProtoNet.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install IncreProtoNet
You can download it from GitHub.
You can use IncreProtoNet 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 IncreProtoNet 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page