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Allan MacGregor amacgregor

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@amacgregor
amacgregor / snn_02.py
Created May 22, 2016 21:33
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
@amacgregor
amacgregor / snn_03.py
Created May 22, 2016 21:38
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
unk_input = array([1, 0, 0])
@amacgregor
amacgregor / snn_04.py
Created May 22, 2016 22:01
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
@amacgregor
amacgregor / snn_05.py
Created May 22, 2016 22:05
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
@amacgregor
amacgregor / snn_06.py
Last active May 22, 2016 22:12
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
@amacgregor
amacgregor / snn_07.py
Created May 22, 2016 22:26
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
@amacgregor
amacgregor / snn_08.py
Created May 22, 2016 22:30
from numpy import exp, array, random, dot
ts_inputs = array([[0, 0, 0], [0, 0, 1], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
ts_outputs = array([[0, 0, 0, 1, 1]]).T
#unknown input
un_input = array([1, 0, 0])
# initialize synapse_weights
random.seed(1)
sy_weights = 2 * random.random((3,1)) - 1
@amacgregor
amacgregor / dump-subset-of-magento-orders-and-customer-data.php
Created January 10, 2017 11:04 — forked from ceckoslab/dump-subset-of-magento-orders-and-customer-data.php
Proof of concept of script that does mysql dump of subset of Magento orders + related sales tables and customer's data of customer that did the orders. The script also attempts to import the data in local database. Currently the script gets last 1000 orders and customers data of customers that created the orders. Data anonymization is not implem…
<?php
$mysqlCommandPath = 'to be filled';
$mysqldumptCommandPath = 'to be filled';
$remoteDbUnsername = 'to be filled';
$remoteDbPassword = 'to be filled';
$remotePort = 'to be filled';
$remotHost = 'to be filled';
$remoteDb = 'to be filled';
@amacgregor
amacgregor / perceptron.py
Created February 20, 2017 00:35
from random import choice
from numpy import array, dot, random
# Declare activation function
def stepFunction(value):
if value <= 0:
return 0
else:
return 1
@amacgregor
amacgregor / .vimrc
Created April 16, 2017 14:48
"""""""""""""""""""""""""""""""""""""
" Allan MacGregor Vimrc configuration
"""""""""""""""""""""""""""""""""""""
set nocompatible
syntax on
set nowrap
set encoding=utf8
"""" START Vundle Configuration