chainladder-python | Actuarial reserving in Python | Machine Learning library
kandi X-RAY | chainladder-python Summary
kandi X-RAY | chainladder-python Summary
Actuarial reserving in Python
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- 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
chainladder-python Key Features
chainladder-python Examples and Code Snippets
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
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 13:20load_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:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install chainladder-python
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.
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