Metadata-Version: 2.1
Name: heavymodel-lewisfogden
Version: 0.0.2
Summary: Heavy Model Actuarial Modelling
Home-page: https://github.com/lewisfogden/heavymodel
Author: Lewis Fogden
Author-email: lewisfogden@gmail.com
License: UNKNOWN
Description: # Heavymodel
        
        heavymodel is a class-based library which enables Actuaries (and other modelling professionals) to build actuarial models in Python, using a function-based syntax similar to other actuarial modelling software, combined with the simplicity of writing code in python.
        
        ## Installation
        
        Install via pip:
        
        `pip install heavymodel-lewisfogden`
        
        ## Simple Model Creation
        
        Import heavymodel, and then subclass your own model from `Model`:
        
        ```python
        from heavymodel import Model
        import pandas as pd
        
        class DemographicModel(Model):
        	def num_policies(self, t):
        		if t == 0:
        			return 1
        		else:
        			return self.num_policies(t-1) - self.num_lapses(t-1)
        
        	def num_lapses(self, t):
        		return 0.1 * self.num_policies(t)
        
        demo = DemographicModel()
        
        demo._run(20)
        
        df = pd.DataFrame({"num_lapses":demo.num_lapses.values, "num_policies":demo.num_policies.values})
        print(df)
        ```
        
        See https://www.digitalactuary.co.uk/ for further documentation.
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
