The cluster Library#

Overview#

The cluster library includes a Jupyter notebook that demonstrates how to apply cluster analysis to model point selection, as well as data used for the demonstration and other jupyter notebooks and models to generate the data.

How to Use the Library#

As explained in the Copying a Library section, Create you own copy of the cluster library. For example, to copy as a folder named cluster under the path C:\path\to\your\, type below in an IPython console:

>>> import lifelib

>>> lifelib.create("cluster", r"C:\path\to\your\cluster")

Jupyter Notebooks#

Selecting model points by cluster analysis

Open In Colab

Generating seriatim model points for cluster analysis example

Open In Colab

Library Contents#

File or Folder

Description

cluster_model_points.ipynb

A Jupyter notebook to perform the cluster analysis example

generate_model_points_for_cluster.ipynb

A Jupyter notebook to generate the seriatim policies used for the example

BasicTerm_ME_for_Cluster

A model derived from BasicTerm_ME to generate the cashflows and present values

cashflows_seriatim_10K.xlsx

Base cashflow data output from BasicTerm_ME_for_Cluster

cashflows_seriatim_10K_lapse50.xlsx

Lapse-stress cashflow data output from BasicTerm_ME_for_Cluster

cashflows_seriatim_10K_mort15.xlsx

Mortality-stress cashflow data output from BasicTerm_ME_for_Cluster

pv_seriatim_10K.xlsx

Present values of base cashflows output from BasicTerm_ME_for_Cluster

pv_seriatim_10K_lapse50.xlsx

Present values of lapse-stress cashflows output from BasicTerm_ME_for_Cluster

pv_seriatim_10K_mort15.xlsx

Present values of mortality-stress cashflows output from BasicTerm_ME_for_Cluster