Code fragments of generate_csv.py

• import math
• import numpy as np
• import pandas as pd
• # import matplotlib.pyplot as plt
• epochs = 50
• metrics = ["acc", "recall", "precision", "f1-score", "run time"]
• data = []
• for m in metrics:
• if m == "run time":
• in_array = np.linspace(1, epochs, epochs)
• mu, sigma = 5, 0.2
• data.append(np.random.normal(mu, sigma, in_array.shape))
• else:
• in_array = np.linspace(1, epochs, epochs)
• out_array = []
• mu, sigma = 0, 0.01
• s = np.random.normal(mu, sigma, in_array.shape)
• for i in range(len(in_array)):
• out_array.append(math.tanh(in_array[i])+s[i])
• i += 1
• data.append(out_array)
• # print("Input_Array : \n", in_array)
• # print("\nOutput_Array : \n", out_array)
• # plt.plot(in_array, out_array, "go-")
• # plt.xlabel("X")
• # plt.ylabel("Y")
• # plt.show()
• data = pd.DataFrame(np.array(data).T, columns=metrics)
• data.to_csv("./performance.csv", index=False)

Graph