Domain-Adaptation-for-Label-Shift

by yitong91 Python Version: Current License: No License

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

kandi X-RAY | Domain-Adaptation-for-Label-Shift Summary

Domain-Adaptation-for-Label-Shift is a Python library. Domain-Adaptation-for-Label-Shift has no bugs, it has no vulnerabilities and it has low support. However Domain-Adaptation-for-Label-Shift build file is not available. You can download it from GitHub.

Domain-Adaptation-for-Label-Shift

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Quality

Security

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Support

Domain-Adaptation-for-Label-Shift has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Domain-Adaptation-for-Label-Shift has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Domain-Adaptation-for-Label-Shift is current.

Quality

Domain-Adaptation-for-Label-Shift has no bugs reported.

Security

Domain-Adaptation-for-Label-Shift has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Domain-Adaptation-for-Label-Shift 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.

Reuse

Domain-Adaptation-for-Label-Shift releases are not available. You will need to build from source code and install.

Domain-Adaptation-for-Label-Shift has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed Domain-Adaptation-for-Label-Shift and discovered the below as its top functions. This is intended to give you an instant insight into Domain-Adaptation-for-Label-Shift implemented functionality, and help decide if they suit your requirements.

Build the model
Computes the loss of the label proportion
Normalize image
Computes the accuracy of the prediction
Feature extraction layer
Creates a domain predictor
Creates a label prediction
Create train and test sets
Concatenate training datasets
Convert a numpy array to one hot label
Calculates the weight between two sources
Assign a weighted weight to the given domain
Convert a ratio
Setup train ops
Return a list of all global variables from scopes
Normalize dataset
Normalize the image
Generator for batches of data
Shuffle a list of indices

Get all kandi verified functions for this library.

Domain-Adaptation-for-Label-Shift Key Features

No Key Features are available at this moment for Domain-Adaptation-for-Label-Shift.

Domain-Adaptation-for-Label-Shift Examples and Code Snippets

No Code Snippets are available at this moment for Domain-Adaptation-for-Label-Shift.

Community Discussions

No Community Discussions are available at this moment for Domain-Adaptation-for-Label-Shift.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Domain-Adaptation-for-Label-Shift

You can download it from GitHub.
You can use Domain-Adaptation-for-Label-Shift 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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