mlflow-apps | MLflow App Library
kandi X-RAY | mlflow-apps Summary
kandi X-RAY | mlflow-apps Summary
mlflow-apps is a Python library. mlflow-apps has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mlflow-apps build file is not available. You can download it from GitHub.
MLflow App Library
MLflow App Library
Support
Quality
Security
License
Reuse
Support
mlflow-apps has a low active ecosystem.
It has 56 star(s) with 25 fork(s). There are 36 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mlflow-apps is current.
Quality
mlflow-apps has 0 bugs and 10 code smells.
Security
mlflow-apps has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
mlflow-apps code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
mlflow-apps 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
mlflow-apps releases are not available. You will need to build from source code and install.
mlflow-apps has no build file. You will be need to create the build yourself to build the component from source.
mlflow-apps saves you 155 person hours of effort in developing the same functionality from scratch.
It has 386 lines of code, 10 functions and 15 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed mlflow-apps and discovered the below as its top functions. This is intended to give you an instant insight into mlflow-apps implemented functionality, and help decide if they suit your requirements.
- Train the model .
- Download diamond csv files .
- Return a list of feature columns .
Get all kandi verified functions for this library.
mlflow-apps Key Features
No Key Features are available at this moment for mlflow-apps.
mlflow-apps Examples and Code Snippets
No Code Snippets are available at this moment for mlflow-apps.
Community Discussions
No Community Discussions are available at this moment for mlflow-apps.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mlflow-apps
You can download it from GitHub.
You can use mlflow-apps 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 mlflow-apps 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:
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