lifelib v0.7.0

This release adds a new library, cluster. It includes a stand-alon jupyter notebook to demonstrate how to apply cluster analysis to model point selection.

To update lifelib, run the following command::

>>> pip install lifelib --upgrade

If you're using Anaconda, use the conda command instead::

>>> conda update lifelib

lifelib v0.6.0

This release adds a new library, economic. It includes the BasicHullWhte model.

To update lifelib, run the following command::

>>> pip install lifelib --upgrade

If you're using Anaconda, use the conda command instead::

>>> conda update lifelib

lifelib v0.5.0

lifelib 0.5.0 is released. This release adds a new model which enables you to set varying step lengths based on materiality, such as 1 month for first the first 5 years and 1 year after that.
https://lifelib.io/releases/relnotes_v0.5.0.html

lifelib v0.4.1

This release introduces a new library, assets.

To update lifelib, run the following command:

> pip install lifelib --upgrade

If you're using Anaconda, use the conda command instead:

> conda update lifelib

The assets library is for modeling portfolios of financial instruments.
Currently, the library includes one model, BasicBonds.

BasicBonds models a portfolio of fixed rate bonds, generates cashflows and calculates the market value of the portfolio.
BasicBonds uses QuantLib, a third-party open-source library for financial instrument valuation.

v0.4.0 is discarded due to packaging error.

lifelib v0.3.3

An example notebook, 3. Memory-Optimized Mutiprocess Example is added to the savings library. This example demonstrates how to effectively run a heavy model with a large data set. The demonstration utilizes techniques such as:

• Multiprocessing using ipyparallel
• Memory-optimized runs introduced in modelx v0.19.0

lifelib v0.3.2

This release adds a new example, 2. Extended Stochastic Example in the savings library, and reflects some cosmetic changes in the savings models. Find out more at https://lifelib.io/releases/relnotes_v0.3.2.html

To update lifelib, run the following command:

>>> pip install lifelib --upgrade