ml2017/Martin/projecta2aa8d535d7bmaster
ml2017/Martin/project
a2aa8d535d7bmaster
project
project
README.txt
README.txt
Machine Learning Project 1
Martin Fontanet, Dennis Gankin, Vikalp Kamdar
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To execute these files, you need to have a python 3 or an more recent version with anaconda installer. They all use the numpy library.
This project has been coded with Python 3.6.1 and Anaconda 4.4.0
Run:
In order to reproduce the csv predictions that we used for our best submission, run the run.py file without changing any value.
These files must be in the same folder as run.py : functions.py, proj1_helpers.py, train.csv, test.csv
Implemented functions:
The six functions that needed to be implemented for the submission can be found in the implementations.py file.
The functions used for our predictions are stored in the functions.py file. The order in which those functions have to be called to get our predictions can be obtained in the run.py file.
Martin Fontanet, Dennis Gankin, Vikalp Kamdar
------------------------------------------------
To execute these files, you need to have a python 3 or an more recent version with anaconda installer. They all use the numpy library.
This project has been coded with Python 3.6.1 and Anaconda 4.4.0
Run:
In order to reproduce the csv predictions that we used for our best submission, run the run.py file without changing any value.
These files must be in the same folder as run.py : functions.py, proj1_helpers.py, train.csv, test.csv
Implemented functions:
The six functions that needed to be implemented for the submission can be found in the implementations.py file.
The functions used for our predictions are stored in the functions.py file. The order in which those functions have to be called to get our predictions can be obtained in the run.py file.
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