/CoffeeHouseData-Spam

The dataset for classifying various types of spam

Primary LanguagePHP

Spam Classification

This is the source code for the all the text-based spam that can be classified for different purposes.

Fetch model

CoffeeHousePy comes with tools to fetch the latest models available, add the following code to your project to fetch the model

from resource_fetch import ResourceFetch
rf = ResourceFetch()

spam_classification = rf.fetch("Intellivoid", "CoffeeHouseData-Spam")

Building The Model

Builiding the model requires CoffeeHousePy to be installed on the system, you can build the model in the foreground or background by running one of these commands

# Build the model in the foreground (Normal)
make build

# Build the model in the background (Requires screen)
make background_build

Testing the model

You can run an interactive Commandline Interface test to predict the output of the model's predictions by running the DLTC tester.

make test

Cleaning the data

Once the data is generated, it's reccomended to clean the and organize the new data that was generated.

make clean