Game Design Scoring Regression Model #

Data #

The data that this model used to train is the csv ./point-weighting-combined-new.csv and was made in a spreedsheet

Building the model #

Run the script ./generate_model.py to build the model

Usage #

To run the model that you built, this is all the code needed

from tensorflow import keras
import numpy as np
import csv

from generate_model import get_data_Y, get_data_X


# Import the model made by ./generate_model.py
model = keras.models.load_model('neural_network.model')

# Gets the data from the model generator file "./generate_model.py"
X = get_data_X()
Y = get_data_Y()


def test_each_match():
    # Get the result actual win value, and the one predicted by the model
    for x, y in zip(X, Y):
        # Predicts the Y value from a given X
        result = model.predict(np.array([x]))
        # Prints the values in the (actual, predict) format
        print(y[0], result[0][0])