kandi X-RAY | JanossyPooling Summary
kandi X-RAY | JanossyPooling Summary
JanossyPooling is a Python library. JanossyPooling has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However JanossyPooling build file is not available. You can download it from GitHub.
JanossyPooling
JanossyPooling
Support
Quality
Security
License
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Support
JanossyPooling has a low active ecosystem.
It has 17 star(s) with 3 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
JanossyPooling has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of JanossyPooling is current.
Quality
JanossyPooling has 0 bugs and 0 code smells.
Security
JanossyPooling has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
JanossyPooling code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
JanossyPooling is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
JanossyPooling releases are not available. You will need to build from source code and install.
JanossyPooling 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.
JanossyPooling saves you 393 person hours of effort in developing the same functionality from scratch.
It has 935 lines of code, 52 functions and 11 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed JanossyPooling and discovered the below as its top functions. This is intended to give you an instant insight into JanossyPooling implemented functionality, and help decide if they suit your requirements.
- Train a text model
- Compute the input tensor
- Construct text dataset
- Compute the loss function
- Prepare data for training
- Forward a node from to_neighs
- Shuffle a list of lists
- Parse command line arguments
- Evaluate the model
- Train the model
- Compute loss and performance
- Performs training
- Compute the weighted score of each node
- Loads data from a given dataset
- Build the nary model
- Build the output path from a dictionary
- Set logger
- Check if the argument is valid
- Generate and return a list of model names
- Return the number of parameters required by the model
- Save training data
Get all kandi verified functions for this library.
JanossyPooling Key Features
No Key Features are available at this moment for JanossyPooling.
JanossyPooling Examples and Code Snippets
No Code Snippets are available at this moment for JanossyPooling.
Community Discussions
No Community Discussions are available at this moment for JanossyPooling.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install JanossyPooling
You can download it from GitHub.
You can use JanossyPooling 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 JanossyPooling 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
Please feel free to reach out to Ryan L. Murphy (murph213 at purdue.edu) if you have any questions.
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