CostyRo

import numpy as np
import matplotlib.pyplot as plt
from pyod.models.knn import KNN
from pyod.utils.data import generate_data
from sklearn.metrics import confusion_matrix, balanced_accuracy_score, roc_curve

X_train, X_test, y_train, y_test = generate_data(
    n_train=400,
    n_test=100,
    n_features=2,

CostyRo

from sys import argv
from operator import mul
from functools import reduce

import numpy as np
from scipy import datasets
from decord import VideoReader
import matplotlib.pyplot as plt
from scipy.fft import dctn,idctn

CostyRo

from functools import partial

import numpy as np
import matplotlib.pyplot as plt

def signal_param(f,phase,t):
    return 2*np.pi*f*t+phase

def get_secondary_diags(X):
    return [

CostyRo

from functools import partial

import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import Lasso
from statsmodels.tsa.arima.model import ARIMA

def signal_param(f,phase,t):
    return 2*np.pi*f*t+phase

CostyRo

from functools import partial
from itertools import product

import numpy as np
import matplotlib.pyplot as plt
from statsmodels.tsa.arima.model import ARIMA

def signal_param(f,phase,t):
    return 2*np.pi*f*t+phase

CostyRo

from functools import partial
from itertools import product

import numpy as np
import matplotlib.pyplot as plt

def signal_param(f,phase,t):
    return 2*np.pi*f*t+phase

def calculate_x_AR(P,M,time_series):

CostyRo

import numpy as np
import matplotlib.pyplot as plt

SIZE = 64

signal1 = np.fromfunction(
    lambda i,j: np.sin(2*i+3*j),
    (SIZE,SIZE)
)

CostyRo

import numpy as np
import matplotlib.pyplot as plt

N = 100

x = np.random.rand(N)
x2 = np.convolve(x,x,mode="same")/N
x3 = np.convolve(x2,x,mode="same")/N
x4 = np.convolve(x3,x,mode="same")/N

CostyRo

import random
from operator import sub
from datetime import datetime

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv("Train.csv")

CostyRo

import os
import time
import math
import json
from functools import partial

import numpy as np
import matplotlib.pyplot as plt

def signal_param(f,phase,t):