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37 lines
835 B
Python
Executable File
37 lines
835 B
Python
Executable File
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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import voting_lib.load_data as ld
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import voting_lib.voting_analysis as va
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import voting_lib.political_compass as pc
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import numpy as np
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# Training Paramters
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# Grid size is chosen such that node count = 5*sqrt(N)
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grid_h = 11 # Grid height
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grid_w = 11 # Grid width
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radius = 2 # Neighbour radius
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step = 0.5
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ep = 300 # No of epochs
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# Load data
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dataset = ld.load_german_data()
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years = [2017, 2013, 2009]
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i = 0
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for period, df in dataset.items():
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print("Election Period ", period)
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data = df.to_numpy()
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X = data[:,2:]
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# Train model
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model = va.train_model(X, grid_h, grid_w, radius, step, ep)
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# Predict and visualize output
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va.predict(model, data, grid_h, grid_w, pc.get_compass_parties(year=years[i], country='de'))
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i += 1
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