sumituk1

import numpy as np
import pandas as pd
from pandas_datareader import data as web
import seaborn as sns
import matplotlib.pyplot as plt
import datetime as dt
sns.set()

class RegPred(object):
    def __init__(self, symbol):

sumituk1

from __future__ import print_function
import sys, os
# sys.path.append('..')
# sys.path.append(os.path.abspath(os.path.dirname(__file__)) + '..' + 'orderbook')
sys.path.append(os.path.join(os.path.dirname(__file__) , '..' ))

import unittest
from unittest import TestCase
from run_bond_hedge import *
import time

sumituk1

import pymc3 as pm
import matplotlib.pyplot as plt
import numpy as np
import theano

size = 100
true_intercept = 1
true_slope = 2

x = np.linspace(0, 1, size)

sumituk1

import pymc3 as pm
import numpy as np
from pymc3.math import switch
import theano
from matplotlib import pyplot as plt
import pandas as pd
from scipy import optimize
from interpolate_marketdata import *
import theano.tensor as T
N_sims = 1000