Metadata-Version: 2.1
Name: VFM-IRP-ACSE9
Version: 1.0
Summary: Individual MSc Project
Home-page: https://github.com/acse-2019/irp-acse-nt719/tree/master/Code/
Author: Nicolas Trinephi
Author-email: nicolas.trinephi@imperial.ac.uk
License: xxxxxxxxxxxxxxxxxxxxxxxxxxxx
Platform: UNKNOWN
Description-Content-Type: text/markdown

Welcome to the VFM IRP


This package contains the code for the Imperial College ACSE-9 Individual Research Project of Nicolas Trinephi. It contains tools to create data frames from well data and machine learning to predict oil, gas and water rates from that data.

Contents:
```
VFM_IRP_ACSE9-1.0/  
â”œâ”€â”€ LICENSE.txt  
â”œâ”€â”€ README.txt  
â”œâ”€â”€ setup.py  
â””â”€â”€ VFM_Code/  
    â”œâ”€â”€	__init__.py  
    â”œâ”€â”€	model.py  
    â”œâ”€â”€	pandas_data.py  
    â”œâ”€â”€	q_control.py  
    â”œâ”€â”€	spark_data.py  
    â”œâ”€â”€	utils.py  
    â”œâ”€â”€	VFM_Main.ipynb  
    â””â”€â”€	visualization.py  
``` 


If you are concerned about Unicode characters you can use ASCII to build the structures, so your example structure becomes

.
+-- _config.yml
+-- _drafts
|   +-- begin-with-the-crazy-ideas.textile
|   +-- on-simplicity-in-technology.markdown
+-- _includes
|   +-- footer.html
|   +-- header.html
+-- _layouts
|   +-- default.html
|   +-- post.html
+-- _posts
|   +-- 2007-10-29-why-every-programmer-should-play-nethack.textile

