ivannp

#!/bin/bash -x

echo "Script started";

echo "Downloading the Ranger policy patch script";
wget -O /tmp/patch_policy_esp.py https://hdiconfigactions.blob.core.windows.net/linuxhdiplclusterconfigactionv01/patch_policy_esp.py
sudo python /tmp/patch_policy_esp.py

echo "Scripts Finished"

ivannp

#
# Copyright (C) 1996-2001, Thomas Andrews
#
# $Id: default 277 2008-10-27 17:36:14Z thomasoa $
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
# 

ivannp

require(quantmod)
require(ggplot2)
require(ggthemes)

# The starting index in the elections dates and president's arrays
# start.index = 7
start.index = 6
# sp = getSymbols("^GSPC", from="1900-01-01", auto.assign=F)

sp = as.xts(read.csv.zoo('dji.csv', format='%Y%m%d', header=F, sep=",")[,1:4])

ivannp

import dshelper as dsh
import instrumentdb as idb
import logging
import numpy as np
import os
import pandas as pd
import psutil
import sys
import tensorflow as tf
import time

ivannp

import glob
import os
import subprocess

def main():
    base_dir = os.path.abspath('d:/abooks')
    ffmpeg_path = os.path.abspath('C:/tools/ffmpeg/bin/ffmpeg.exe')
    
    pattern = os.path.join(base_dir, '**', '*.m4b')
    

ivannp

import cntk
import cntk.ops as C
import numpy as np

from sklearn.preprocessing import OneHotEncoder

from cntk.blocks import default_options, Input   # Building blocks
from cntk.initializer import glorot_uniform
from cntk.layers import Dense                    # Layers
from cntk.learner import sgd, learning_rate_schedule, UnitType

ivannp

import dshelper as dsh
import numpy as np
import os
import pandas as pd
import sys
import time

from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis as QDA

from sqlalchemy import create_engine, MetaData

ivannp

import pandas as pd
import numpy as np
import instrumentdb as idb
import math
import pickle

def good_entries(ohlcv, min_days = 3, days_out = 15, vola_len = 35, days_pos = 0.6, stop_loss = 1.5):
    if days_out <= min_days:
        raise RuntimeError('days_out must be greater than min_days.')

ivannp

'''
A module to load instruments and bars from a SQLite database.
'''

import pandas as pd
import toml

from sqlalchemy import create_engine

class CsiDb:

ivannp

require(R6)
require(quantmod)

# Db interface
YahooDb = R6Class("YahooDb",
   public = list(
      initialize = function(path="yahoo.sqlite") {
         private$path = path
      },