MachineLearning.py

import matplotlib.pyplot as plt
import numpy as np
import torch
from scipy import stats


def machine_learning_libs_test():
    speed = [100, 80, 130, 111, 96, 110, 90, 94, 86, 150, 120, 144, 146]

    rotation = [180, 90, 260, 360, 720, 144, 146, 80, 94, 86, 120, 1080, 333]

    weights = torch.randn(53, 43, 6, 4)

    inputs = torch.randn(16, 43, 23, 33)

    tr = torch.nn.functional.conv2d(inputs, weights, rotation)

    x = np.mean(speed)

    y = stats.mode(speed)

    z = np.median(speed)

    s = np.std(speed)

    p = np.percentile(speed, 90)

    v = np.var(speed)

    r = np.random.uniform(23, 35, 10000)

    print(r)

    print(y)

    print(x)

    print(z)

    print(s)

    print(v)

    print(p)

    print(tr)

    plt.hist(r)

    plt.show()


machine_learning_libs_test()