congrads | driven method for mapping the spatial organisation

by koenhaak Python Version: Current License: Apache-2.0

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

kandi X-RAY | congrads Summary

congrads is a Python library typically used in Financial Services, Banks, Payments, Internet of Things (IoT) applications. congrads has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However congrads build file is not available. You can download it from GitHub.

Developed at DCCN (Donders Centre for Cognitive Neuroimaging), Donders Institute for Brain, Cognition and Behaviour. Radboud University, Nijmegen, The Netherlands. Authors: KV Haak, AF Marquand, CF Beckmann. Congrads is a data-driven method for mapping the spatial organisation of connectivity within a pre-defined region-of-interest (i.e. connectopic mapping) and fitting the results with a spatial statisical model that summarises the map in terms of a limited number of trend surface model coefficients. These coefficients can then be compared across subjects or groups using standard statistical analysis methods or used as features in e.g. classification. The code has been tested using fslpython (FSL 5.0.10) but should also work with other Python distributions that include packages numpy, nibabel, scipy, and networkx.

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Support

congrads has a low active ecosystem.

It has 15 star(s) with 5 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 294 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of congrads is current.

Quality

congrads has no bugs reported.

Security

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

License

congrads 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

congrads releases are not available. You will need to build from source code and install.

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

Estimate the derivative of the log likelihood
Estimate posterior distribution for a given hypothesis
Compute the log likelihood of a posterior distribution
R Compute the adjacency matrix
Load a numpy array
Estimate the value of the hyperparameters
Compute the principal components of X
Save an example image
Compute the correlation matrix
Compute eta
Predict for a given hypothesis
Create polynomial polynomial basis
Return the norm of X

Get all kandi verified functions for this library.

congrads Key Features

No Key Features are available at this moment for congrads.

congrads Examples and Code Snippets

No Code Snippets are available at this moment for congrads.

Community Discussions

Trending Discussions on congrads

IndentationError: unindent does not match any outer indentation level in python 3, idk the reason why

QUESTION

IndentationError: unindent does not match any outer indentation level in python 3, idk the reason why

Asked 2019-Jul-10 at 17:46

number = 64
running = True

while running:
        guess = int(input("write the number :"))
    if guess == number:
            print("Congrads! You won!")
            running = False
    elif guess < number:
        print("No, the number is a bit bigger")
    else:
        print("No, the number is less")
else:
    print("while cycle is over.")
else:
    print("end")

...

ANSWER

Answered 2019-Jul-10 at 17:46

In addition to G. Anderson you have following errors in the code (look comments):

Source https://stackoverflow.com/questions/56975984

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

Vulnerabilities

No vulnerabilities reported

Install congrads

You can download it from GitHub.
You can use congrads 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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