contrib | Historical workspace , please use madlib/madlib
kandi X-RAY | contrib Summary
kandi X-RAY | contrib Summary
contrib is a C library. contrib has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
This repository contains code intended for contribution to MADlib.
This repository contains code intended for contribution to MADlib.
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Quality
Security
License
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Support
contrib has a low active ecosystem.
It has 5 star(s) with 1 fork(s). There are 15 watchers for this library.
It had no major release in the last 6 months.
contrib has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of contrib is current.
Quality
contrib has no bugs reported.
Security
contrib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
contrib 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.
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contrib releases are not available. You will need to build from source code and install.
Top functions reviewed by kandi - BETA
kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of contrib
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of contrib
contrib Key Features
No Key Features are available at this moment for contrib.
contrib Examples and Code Snippets
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def _contrib_layers_variance_scaling_initializer_transformer(
parent, node, full_name, name, logs):
"""Updates references to contrib.layers.variance_scaling_initializer.
Transforms:
tf.contrib.layers.variance_scaling_initializer(
facto
Copy
def add_contrib_direct_import_support(symbol_dict):
"""Add support for `tf.contrib.*` alias `contrib_*.` Updates dict in place."""
for symbol_name in list(symbol_dict.keys()):
symbol_alias = symbol_name.replace("tf.contrib.", "contrib_")
Community Discussions
No Community Discussions are available at this moment for contrib.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install contrib
You can download it from GitHub.
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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