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UU_NCML_Project/german_analysis.py

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import voting_lib.load_data as ld
import voting_lib.voting_analysis as va
import numpy as np
# Training Paramters
grid_h = 2 # Grid height
grid_w = 2 # Grid width
radius = 2 # Neighbour radius
step = 0.5
ep = 300 # No of epochs
# Load data
dataset = ld.load_german_data()
for period, df in dataset.items():
print("Election Period ", period)
data = df.to_numpy()
X = data[:,2:]
# Train model
model = va.train_model(X, grid_h, grid_w, radius, step, ep)
# Predict and visualize output
va.predict(model, data, grid_h, grid_w)