spo_extract_platform | use deep learning technology to construct a knowledge map
kandi X-RAY | spo_extract_platform Summary
kandi X-RAY | spo_extract_platform Summary
spo_extract_platform is a Python library. spo_extract_platform has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
This project is an attempt to use deep learning technology to construct a knowledge map. As an open field relational extraction, it is an innovation of the author. At present, there are few articles and projects in this area.
This project is an attempt to use deep learning technology to construct a knowledge map. As an open field relational extraction, it is an innovation of the author. At present, there are few articles and projects in this area.
Support
Quality
Security
License
Reuse
Support
spo_extract_platform has a low active ecosystem.
It has 193 star(s) with 31 fork(s). There are 8 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 5 have been closed. On average issues are closed in 9 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of spo_extract_platform is current.
Quality
spo_extract_platform has no bugs reported.
Security
spo_extract_platform has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
spo_extract_platform 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
spo_extract_platform 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 spo_extract_platform and discovered the below as its top functions. This is intended to give you an instant insight into spo_extract_platform implemented functionality, and help decide if they suit your requirements.
- R Linear Transformer model
- Reshape a tensor from a matrix
- Assert that the tensor has the expected rank
- Return the shape of a tensor
- Build a function for TPUEstimator
- Get the assignment map from a checkpoint
- Create an optimizer
- Apply gradients
- Train the model
- Evaluate a sequence of chunks
- Builds an input function
- Deletes the temporary files
- Subj_extract method
- Creates attention mask from input tensors
- Augment a pre - trained embedding
- Subj_extract
- Create training instances
- Embed word embedding
- Validate the case - insensitive case
- Tokenize text
- Builds a tf input function
- Write examples to examples
- Handles post processing
- Create MLM instances from a document
- Optimize the graph
- Embedding postprocessor
- Compute EvalCounts
Get all kandi verified functions for this library.
spo_extract_platform Key Features
No Key Features are available at this moment for spo_extract_platform.
spo_extract_platform Examples and Code Snippets
No Code Snippets are available at this moment for spo_extract_platform.
Community Discussions
No Community Discussions are available at this moment for spo_extract_platform.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spo_extract_platform
You can download it from GitHub.
You can use spo_extract_platform 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 spo_extract_platform 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