A folder encapsulating all files about part 1: Planning.
Contains 5 PDDL files, 1 domain, and 4 problem files.
SerumVisions.pddl - Domain file containing problem specifications
PROBLEMFILE4.pddl | Problem Files For 4 Separate Situations, Outlined in GitaxianProbeReport
PROBLEMFILE3.pddl |
PROBLEMFILE2.pddl |
PROBLEMFILE1.pddl |
Contains 2 python file,
main.py - Main Python File that creates, and queries the bayesian network outlined in the report RUN THIS ONE ONLY
test.py - Should not be run, used for testing, however may contain useful information for the future
Folder containing all files about part 3: Deep Learning
Contains 2 python files
main.py - Main Python File to run, creates, tests and runs the deep learning module, RUN THIS ONE ONLY
testing.py - Testing file, should not be run, may contain useful testing however.
webscraper.py - Unused web scraping python file, may be needed in the future for more complex data problems.
data.json - Stores raw data
testing_data.json - Stores filtered and seperated data, contains testing data.
training_data.json - Stores filtered and seperated data, contains training data.
validation_data.json - Stores filtered and seperated data, contains validation data.
training_data_labels - Stores data labels for the data jsons, contains training labels.
test_data_labels.json - Stores data labels for the data jsons, contains testing labels
validation_data_labels.json - Stores data labels for the data jsons, contains validation labels
vector-text-model.keras - The file that stores the textVectorization layer to be used in the layer() function
vector-text-model.h5 - Unused textVectorization layer that is used as a backup
my_model.keras - The Keras file that stores the main deep learning model.
default-cards.json - A JSON file containing all information about each card.
Folder containing all documents about the project,
GitaxianProbeReport.pdf - Report outlining all relevant information. Start here if uninitiated.
problem_formulation.pptx - Slideshow containing initial problem formulation