chainladder-python | Actuarial reserving in Python | Machine Learning library

 by   casact Python Version: v0.8.15 License: MPL-2.0

kandi X-RAY | chainladder-python Summary

kandi X-RAY | chainladder-python Summary

chainladder-python is a Python library typically used in Artificial Intelligence, Machine Learning, Pandas applications. chainladder-python has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can install using 'pip install chainladder-python' or download it from GitHub, PyPI.

Actuarial reserving in Python
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              chainladder-python has a low active ecosystem.
              It has 141 star(s) with 59 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 27 open issues and 213 have been closed. On average issues are closed in 128 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of chainladder-python is v0.8.15

            kandi-Quality Quality

              chainladder-python has 0 bugs and 0 code smells.

            kandi-Security Security

              chainladder-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              chainladder-python code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              chainladder-python is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

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              chainladder-python releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 7351 lines of code, 620 functions and 88 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed chainladder-python and discovered the below as its top functions. This is intended to give you an instant insight into chainladder-python implemented functionality, and help decide if they suit your requirements.
            • Fit the model
            • Compute the values of the Series
            • Set the backend
            • Set fit groupings
            • Fit the cost function to the given data
            • Convert the Series to a cumulative distribution
            • Calculate process variance
            • Include the process variance
            • Fit the bootstrap model
            • Fit the LDF model
            • Fit the model to the given data
            • Calculate the CVA model
            • Compute the covariance matrix
            • Fit the trend model to the data
            • Predict on X
            • Transform the data
            • Fit the model on the model
            • Fit the chainladder function
            • Add a triangle aggregation function
            • Add aggregation function
            • This method transforms X
            • Fit the hyperparameters
            • Fit the Gaussian model
            • Performs the Munich adjustment
            • Load a single sample
            • Compute the trend of the model
            Get all kandi verified functions for this library.

            chainladder-python Key Features

            No Key Features are available at this moment for chainladder-python.

            chainladder-python Examples and Code Snippets

            Unable to export a python chainladder triangle to excel sheet
            Pythondot img1Lines of Code : 6dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            cl.load_template('triangle', triangle=raa).to_excel('raa_example.xlsx')
            
            raa.latest_diagonal.to_excel('raa_example.xlsx')
            # or
            cl.DataFrame(raa.latest_diagonal).to_excel('raa_example.xlsx')
            

            Community Discussions

            Trending Discussions on chainladder-python

            QUESTION

            Unable to export a python chainladder triangle to excel sheet
            Asked 2020-Nov-23 at 13:20

            I am exploring the chainladder package. I tried to export a triangle structure into an excel sheet. But it throws an error. Has anyone ever faced this kind of problem. I am using chainladder==0.7.9 with pandas==0.24.2. Here is my simple code by reading their documentation https://chainladder-python.readthedocs.io/en/latest/tutorials/index.html

            ...

            ANSWER

            Answered 2020-Nov-23 at 13:20

            load_template is used to load a YAML template containing the specs for your Excel file. This particular template file is designed to create a standard exhibit for regular triangles, not diagonals. Templates are used to contain complex layouts, formatting, logic.

            This should resolve the issue:

            Source https://stackoverflow.com/questions/64881642

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

            Vulnerabilities

            No vulnerabilities reported

            Install chainladder-python

            You can install using 'pip install chainladder-python' or download it from GitHub, PyPI.
            You can use chainladder-python 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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