Name		Name	Last commit message	Last commit date
SBHacksII		SBHacksII
app		app
build/generated		build/generated
gradle/wrapper		gradle/wrapper
lib		lib
.gitignore		.gitignore
CSVtoHouse.java		CSVtoHouse.java
HouseMatch.iml		HouseMatch.iml
README.md		README.md
User.java		User.java
build.gradle		build.gradle
edited_housing_san_diego.csv		edited_housing_san_diego.csv
gradle.properties		gradle.properties
gradlew		gradlew
gradlew.bat		gradlew.bat
housing.csv		housing.csv
housingTEST.csv		housingTEST.csv
housing_santa_barbara.csv		housing_santa_barbara.csv
housing_scraper.py		housing_scraper.py
neural_network.py		neural_network.py
requirements.txt		requirements.txt
results.txt		results.txt
settings.gradle		settings.gradle

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SB Hacks II

Installation

Run pip install -r requirements.txt
Use the command python housing_scraper.py in order to obtain the .CSV file of housing data
Next, run python neural_network.py -t <filename> (where <filename> is the name of the .CSV file) in order to obtain the weight vectors and feature vectors from the neural network

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