HyTE | EMNLP 2018 : HyTE : Hyperplane-based Temporally aware | Graph Database library
kandi X-RAY | HyTE Summary
kandi X-RAY | HyTE Summary
HyTE is a Python library typically used in Database, Graph Database, Tensorflow applications. HyTE has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However HyTE has 3 bugs. You can download it from GitHub.
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
Support
Quality
Security
License
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Support
HyTE has a low active ecosystem.
It has 137 star(s) with 43 fork(s). There are 11 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 10 have been closed. On average issues are closed in 12 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of HyTE is current.
Quality
HyTE has 3 bugs (0 blocker, 0 critical, 3 major, 0 minor) and 103 code smells.
Security
HyTE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
HyTE code analysis shows 0 unresolved vulnerabilities.
There are 11 security hotspots that need review.
License
HyTE 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
HyTE 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.
Installation instructions are not available. Examples and code snippets are available.
HyTE saves you 518 person hours of effort in developing the same functionality from scratch.
It has 1216 lines of code, 65 functions and 7 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed HyTE and discovered the below as its top functions. This is intended to give you an instant insight into HyTE implemented functionality, and help decide if they suit your requirements.
- Load dataset
- Create a dictionary of year -2 id
- Create the identifier labels for a triple
- Adds the model
- Projected data into time - projection
- Fit the model
- Calculates the score for positive elements
- Return the span of the given year
- Create a dictionary for feed data
- Run a single epoch
- Read valid triples
- Get batches of data
- Set the current CUDA bus
Get all kandi verified functions for this library.
HyTE Key Features
No Key Features are available at this moment for HyTE.
HyTE Examples and Code Snippets
No Code Snippets are available at this moment for HyTE.
Community Discussions
Trending Discussions on HyTE
QUESTION
how do you fix this while loop?
Asked 2020-Feb-17 at 18:36
EDIT: i have another problem but it won't let me post again
the code is this:
...ANSWER
Answered 2020-Feb-17 at 17:36EDIT: As I see you added more code. You are checking if your choice is greater than 6, then compare to values less than 6. You never hit that while
loop.
No need to loop through the indexes. Loop through the list directly.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install HyTE
You can download it from GitHub.
You can use HyTE 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 HyTE 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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