mmo-modeling-bias.py

bias = pd.DataFrame({
    "t": np.arange(104)
})

d = 2

# Fourier terms
for i in np.arange(1,d+1):
    bias[f"cos_{i}"] = np.cos(2 * np.pi * i * bias["t"] / 52)
    bias[f"sin_{i}"] = np.sin(2 * np.pi * i * bias["t"] / 52)

# Holiday flag
bias['holiday_period'] = np.select([bias.t==26, bias.t==78, np.logical_and(bias.t>=40,bias.t<=52), np.logical_and(bias.t>=92,bias.t<=104)],[1,1,1,1],0)

# Min-max scaling
bias.iloc[:,1:] = (bias.iloc[:,1:] - bias.iloc[:,1:].min()) / (bias.iloc[:,1:].max() - bias.iloc[:,1:].min())