annualreview-complearning | Demonstration code for Liang and Potts

by cgpotts Python Version: Current License: GPL-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | annualreview-complearning Summary

annualreview-complearning is a Python library. annualreview-complearning has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Bringing machine learning and compositional semantics together.

Support

Quality

Security

License

Reuse

Support

annualreview-complearning has a low active ecosystem.

It has 79 star(s) with 34 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

annualreview-complearning has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of annualreview-complearning is current.

Quality

annualreview-complearning has 0 bugs and 14 code smells.

Security

annualreview-complearning has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

annualreview-complearning code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

License

annualreview-complearning is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

annualreview-complearning 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.

annualreview-complearning saves you 199 person hours of effort in developing the same functionality from scratch.

It has 489 lines of code, 36 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 annualreview-complearning and discovered the below as its top functions. This is intended to give you an instant insight into annualreview-complearning implemented functionality, and help decide if they suit your requirements.

Evaluate latent semparse
Evaluate feature function
Predict the class for each class
Compute the weighted score of a function
Generate a random matrix
Return a random float
Compute the phi - semithm of the feature
Return the leaves of a tree
Generate a parse tree from a string
Return all combinations of c1 and c2
Generate a LatentG
Cost function
Evaluate the interpretive test
Evaluate the semparse function
Evaluate an ellipse
Runs the SGD algorithm
Evaluate the expression

Get all kandi verified functions for this library.

annualreview-complearning Key Features

No Key Features are available at this moment for annualreview-complearning.

annualreview-complearning Examples and Code Snippets

No Code Snippets are available at this moment for annualreview-complearning.

Community Discussions

No Community Discussions are available at this moment for annualreview-complearning.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install annualreview-complearning

You can download it from GitHub.
You can use annualreview-complearning 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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