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||2 years ago|
|advanced_sentiments||2 years ago|
|.gitignore||2 years ago|
|Makefile||2 years ago|
|README.md||2 years ago|
This is the source code for ProfileIO models which are intended to be used to identify specifhic characters about individuals.
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-ProfileIO")
Building The Model
Builiding the model requires CoffeeHousePy to be installed on the system, you can build the model in the foreground by running one of these commands
# Build the model (Full) make build # Build advanced_sentiments make build_advanced_sentiments # Build name_gender make build_name_gender
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_advanced_sentiments make test_name_gender
Cleaning the data
Once the data is generated, it's reccomended to clean the and organize the new data that was generated.