Skip to main content

No project description provided

Project description

This package has two methods as specified below. The methods both calculate expected loss, one for single calculations and the other for full dataframes.

expectedloss_single Calculates Expected Loss for single values and takes: PD, LGD and EAD as parameters.

expectedloss_dataframe Calculates Expected Loss for a whole dataframe. The expected parameter is a dataframe. For the calculation to be successfull the dataframe needs to contain “pd”, “lgd” and “ead” as column names.

Please try and any feedback is very welcome for future releases!

Project details


Release history Release notifications | RSS feed

This version

1.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

StevesExpectedLoss-1.1.tar.gz (13.5 kB view hashes)

Uploaded Source

Built Distribution

StevesExpectedLoss-1.1-py3-none-any.whl (13.6 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page