Risk-Models | Risk estimation algorithms | Machine Learning library

by Bradleydi Python Version: Current License: No License

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

kandi X-RAY | Risk-Models Summary

Risk-Models is a Python library typically used in Artificial Intelligence, Machine Learning, Numpy applications. Risk-Models has no bugs, it has no vulnerabilities and it has low support. However Risk-Models build file is not available. You can download it from GitHub.

Risk estimation algorithms based on Barra US Equity Model (USE4).

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Quality

Security

License

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Support

Risk-Models has a low active ecosystem.

It has 17 star(s) with 23 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Risk-Models is current.

Quality

Risk-Models has no bugs reported.

Security

Risk-Models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Risk-Models 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

Risk-Models releases are not available. You will need to build from source code and install.

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

Wrapper function for the CCC algorithm
r Calculates the Newy - West covariance matrix .
Eigenvectors of data .
get rpt - rpt
Calculate the covariance matrix .
Pivot point .
Compute the Z score of the data .
Preprocessing .
Gets market data for a given date and date .
Calculates the eigenvalue of the eigenvalue distribution

Get all kandi verified functions for this library.

Risk-Models Key Features

No Key Features are available at this moment for Risk-Models.

Risk-Models Examples and Code Snippets

No Code Snippets are available at this moment for Risk-Models.

Community Discussions

Trending Discussions on Risk-Models

Pandas sum above all possible thresholds

QUESTION

Pandas sum above all possible thresholds

Asked 2018-Jun-21 at 20:51

I have a dataset with two risk model scores and observations that have a certain amount of value. Something like this:

...

ANSWER

Answered 2017-Aug-12 at 00:16

You'll get some speedup with apply(), using your same approach, but I agree with your hunch, there's probably a faster way.
Here's an apply() solution:

With df_sum as:

Source https://stackoverflow.com/questions/45640532

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

Vulnerabilities

No vulnerabilities reported

Install Risk-Models

You can download it from GitHub.
You can use Risk-Models 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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