kandi X-RAY | rec-rl Summary
kandi X-RAY | rec-rl Summary
rec-rl is a Python library. rec-rl has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
rec-rl
rec-rl
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Quality
Security
License
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Support
rec-rl has a low active ecosystem.
It has 44 star(s) with 20 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 1 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of rec-rl is current.
Quality
rec-rl has 0 bugs and 0 code smells.
Security
rec-rl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
rec-rl code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
rec-rl 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
rec-rl 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.
rec-rl saves you 1886 person hours of effort in developing the same functionality from scratch.
It has 4158 lines of code, 318 functions and 46 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed rec-rl and discovered the below as its top functions. This is intended to give you an instant insight into rec-rl implemented functionality, and help decide if they suit your requirements.
- Builds a list of metagraphs
- Convert a dictionary to a string
- Convert data to string
- Create tensorflow outputs
- Gathers the variables of the embedding
- Perform a single step of the optimizer
- Optimizes the model
- Apply a single step
- Applies a step to the given variables
- Evaluate the given actions
- Check if the given action is a positive integer
- Get the input tensor
- Preprocess tensors
- Preprocessing function
- Calculate the weighted sum of weighted vectors
- Returns a random NumPy RandomState
- Compute the rank of a tensor
- Restore the model
- Reset the state
- Helper function to print meta data
- Execute actions
- Execute given actions
- Save the model to directory
- Setup the training data
- Helper function to add a learning rate decay
- Wrapper function for tf optimizer
Get all kandi verified functions for this library.
rec-rl Key Features
No Key Features are available at this moment for rec-rl.
rec-rl Examples and Code Snippets
No Code Snippets are available at this moment for rec-rl.
Community Discussions
No Community Discussions are available at this moment for rec-rl.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rec-rl
You can download it from GitHub.
You can use rec-rl 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 rec-rl 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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