Jan Kwakkel quaquel

## prim_example_Feldman.ipynb

      
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                / prim_example_Feldman.ipynb
            
            
              Created
              January 6, 2015 18:51
            
              
                prim_example_Feldman
              
          
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## analysis_sebas.ipynb

      
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              Last active
              August 29, 2015 14:15
            
              
                analysis for sebas
              
          
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## generate_experiments.py
'''
Last Modified: 17-3-2015
Sebastiaan Greeven

Based on code from jhkwakkel <j.h.kwakkel (at) tudelft (dot) nl>
'''

import os
from collections import defaultdict

## prim_example.ipynb

      
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              Last active
              August 29, 2015 14:18
            
              
                prim new functions
              
          
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## color_palette.ipynb

      
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                / color_palette.ipynb
            
            
              Created
              April 11, 2015 08:53
            
              
                changing color palette to match house style
              
          
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## borg_demo.ipynb

      
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              Last active
              August 29, 2015 14:21
            
              
                borg python demo
              
          
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## prim_blog.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Performing Scenario Discovery in Python\n",
    "\n",
    "The purpose of this blog post is to demonstrate how one can do scenario discovery in python. This blogpost will use the exploratory modeling workbench available on github. I will demonstrate how we can perform both PRIM in an interactive way, as well as briefly show how to use CART, which is also available in the exploratory modeling workbench. There is ample literature on both CART and PRIM and their relative merits for use in scenario discovery. So I won't be discussing that here in any detail.\n",
    "\n",

## regional_sa.ipynb

      
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                quaquel
                / regional_sa.ipynb
            
            
              Created
              August 11, 2015 19:33
            
              
                regional sa 
              
          
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## text_mining.ipynb

      
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                / text_mining.ipynb
            
            
              Created
              September 15, 2015 18:20
            
              
                lemmatization example
              
          
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## picmet.ipynb

      
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                / picmet.ipynb
            
            
              Created
              February 5, 2016 12:26
            
          
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	'''
	Last Modified: 17-3-2015
	Sebastiaan Greeven

	Based on code from jhkwakkel <j.h.kwakkel (at) tudelft (dot) nl>
	'''

	import os
	from collections import defaultdict
	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Performing Scenario Discovery in Python\n",
	"\n",
	"The purpose of this blog post is to demonstrate how one can do scenario discovery in python. This blogpost will use the exploratory modeling workbench available on github. I will demonstrate how we can perform both PRIM in an interactive way, as well as briefly show how to use CART, which is also available in the exploratory modeling workbench. There is ample literature on both CART and PRIM and their relative merits for use in scenario discovery. So I won't be discussing that here in any detail.\n",
	"\n",