27 lines
752 B
Python
27 lines
752 B
Python
import tensorflow as tf
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import os
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import pandas as pd
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import numpy as np
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import csv
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from sklearn.model_selection import train_test_split
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from matplotlib import pyplot as plt
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x_test = pd.read_csv('xtest.csv')
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y_test = pd.read_csv('ytest.csv')
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model = tf.keras.models.load_model('./model')
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res = model.evaluate(x_test, y_test,verbose=0)
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with open('evaluation_acuraccy.txt', 'a+') as f:
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f.write(str(res[1])+'\n')
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with open('evaluation_acuraccy.txt') as f:
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scores = [float(line) for line in f if line]
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print(scores)
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builds = list(range(1, len(scores) + 1))
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plot = plt.plot(builds, scores)
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plt.xlabel('Build')
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plt.xticks(range(1, len(scores) + 1))
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plt.ylabel('Accuraccy')
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plt.show()
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plt.savefig('accuraccy.png') |