Custom date features

from mlforecast import MLForecast
from mlforecast.utils import generate_daily_series

series = generate_daily_series(1, min_length=6, max_length=6)

def even_day(dates):
    """Day of month is even"""
    return dates.day % 2 == 0

def month_start_or_end(dates):
    """Date is month start or month end"""
    return dates.is_month_start | dates.is_month_end

def is_monday(dates):
    """Date is monday"""
    return dates.dayofweek == 0

fcst = MLForecast(
    [],
    freq='D',
    date_features=['dayofweek', 'dayofyear', even_day, month_start_or_end, is_monday]
)
fcst.preprocess(series)