How to use the scitime._log.LogMixin function in scitime

def timeit(method):
    """takes method and wraps it in a timer"""
    log = LogMixin()

    def timed(*args, **kw):
        ts = time.time()
        result = method(*args, **kw)
        te = time.time()

        log.logger.info(f'''{method.__qualname__} took
        {round(te - ts, 3)}s seconds''')

        return result

    timed.__name__ = method.__name__
    timed.__doc__ = method.__doc__

    return timed

import os
import psutil

import joblib
import pandas as pd
import numpy as np
import time
import json
from scipy import stats

import warnings

warnings.simplefilter("ignore")


class Estimator(LogMixin):
    # default meta-algorithm
    META_ALGO = 'RF'
    # bins to consider for computing confindence intervals (for NN meta algo)
    BINS = [(1, 5), (5, 30), (30, 60), (60, 10 * 60)]
    BINS_VERBOSE = ['less than 1s',
                    'between 1s and 5s',
                    'between 5s and 30s',
                    'between 30s and 1m',
                    'between 1m and 10m',
                    'more than 10m']

    def __init__(self, meta_algo=META_ALGO, verbose=3, confidence=0.95):
        self.meta_algo = meta_algo
        self.verbose = verbose
        self.confidence = confidence
        self.bins = self.BINS, self.BINS_VERBOSE