fishervector | Improved Fisher Vector Implementation | Machine Learning library

by jonasrothfuss Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | fishervector Summary

fishervector is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. fishervector 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.

The package implements Improved Fisher Vectors as described in [1]. For a more concise description of Fisher Vectors see [2]. The functionality includes:.

Support

Quality

Security

License

Reuse

Support

fishervector has a low active ecosystem.

It has 81 star(s) with 29 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 2 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fishervector is current.

Quality

fishervector has 0 bugs and 0 code smells.

Security

fishervector has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

fishervector code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fishervector is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

fishervector 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, examples and code snippets are available.

It has 187 lines of code, 14 functions and 4 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Predict using the GPM .
Fit the Gaussian model .
Fit the GMM using bic
Fit the kernel using bic .
Predict the model .
Fit the model .
Load a FisherVectorGMM from a pickle file .
Initialize the kernel .
Compute the BIC score .

Get all kandi verified functions for this library.

fishervector Key Features

No Key Features are available at this moment for fishervector.

fishervector Examples and Code Snippets

No Code Snippets are available at this moment for fishervector.

Community Discussions

Trending Discussions on fishervector

Improve Makefile

QUESTION

Improve Makefile

Asked 2020-Mar-01 at 17:48

I have the following Makefile:

...

ANSWER

Answered 2020-Feb-28 at 00:31

IMO autotools is way overkill for this.

You can do this quite easily. However there are some odd things about your makefile.

Most importantly, all your files are suffixed with a .c extension which means they are C files, but you are compiling them with g++ which is a C++ compiler. This does not make sense. Either you should be naming your source files as C++ files, which means either .cc or .cxx or .cpp or similar, or you should be using a C compiler like gcc not g++.

I will assume your code is C code based on the file extensions.

Please use standard variables (CC, CPPFLAGS, CFLAGS, LDLIBS):

Source https://stackoverflow.com/questions/60441416

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

Vulnerabilities

No vulnerabilities reported

Install fishervector

For intsallation via pip run the following command on your terminal (requires python 3.4 or higher):.

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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