kolommik

## forecasting_metrics.py
import numpy as np

EPSILON = 1e-10


def _error(actual: np.ndarray, predicted: np.ndarray):
    """ Simple error """
    return actual - predicted


## connect_and_load.py
import pymssql
import pandas as pd

## instance a python db connection object- same form as psycopg2/python-mysql drivers also
conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642)  # You can lookup the port number inside SQL server.

## Hey Look, college data
stmt = "SELECT * FROM AlumniMirror..someTable"
# Excute Query here
df = pd.read_sql(stmt,conn)
	import numpy as np

	EPSILON = 1e-10


	def _error(actual: np.ndarray, predicted: np.ndarray):
	""" Simple error """
	return actual - predicted
	import pymssql
	import pandas as pd

	## instance a python db connection object- same form as psycopg2/python-mysql drivers also
	conn = pymssql.connect(server="172.0.0.1", user="howens",password="some_fake_password", port=63642) # You can lookup the port number inside SQL server.

	## Hey Look, college data
	stmt = "SELECT * FROM AlumniMirror..someTable"
	# Excute Query here
	df = pd.read_sql(stmt,conn)