NeyoxDrago

df = pd.read_csv("file.csv")
df.drop_duplicates([features_here],inplace=True)

NeyoxDrago

class RmsleMetric(object):
    def get_final_error(self, error, weight):
        return np.sqrt(error / (weight + 1e-38))

    def is_max_optimal(self):
        return False

    def evaluate(self, approxes, target, weight):
        assert len(approxes) == 1
        assert len(target) == len(approxes[0])

NeyoxDrago

import logging
from flask import Flask, request
from telegram.ext import Updater, CommandHandler , MessageHandler , Filters, Dispatcher
from telegram import Bot , Update 
#enable logging
logging.basicConfig(format='%(asctime)s - %(name)s - %(levelname)s %(message)s', 
	                level= logging.INFO) 
logger = logging.getLogger(__name__)

TOKEN = "1363998583:AAHSEmA8H0-YDELz3CEABNmcUrYhiaMtsOo"