Otto Wagner caffeine-potent

## map.geojson

      
              1 file
            
          
              0 forks
            
          
              2 comments
            
          
              0 stars
            
          
                caffeine-potent
                / map.geojson
            
            
              Last active
              December 23, 2018 06:59
            
              
                Extent collections of terminal for image recognition project. 
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## data.py
class B:
    def __init__(self):
        self.data = []
    def update(self, row):
        for r in row:
            self.data.append(r)
    def finalize(self):
        return np.reshape(self.data, newshape=(len(self.data)/5, 5))

ax = B()

## EpsilonGreedy.py
import numpy as np
class EpsGreedy()
  def __init__(self, number_of_bandits, epsilon, start_greedy= True):
    self.count = np.zeros(number_of_bandits)
    self.scores = np.array([int(!start_greedy)] * number of bandits)
    self.epsilon = epsilon
    self.bandit_count = number_of_bandits
  def select_arm():
    choice = np.random.binomial(1,self.epsilon):
    if choice = 1: #EXPLORE

## softmax_bandit.py
import math
import random


def categorical_draw(probs):
    '''
    if
    P(A) = .5
    P(B) = .2
    P(C) = .3

## softmax_annealing_algorithm.py
import math
import random


def categorical_draw(probs):
    '''
    if
    P(A) = .5
    P(B) = .2
    P(C) = .3

## numdict.py
my_dict = dict({
      1     : "",
      2     : "",
      3     : "oyy",
      "oyy" : "",
      1990  : 's kid',
      2000  : "a",
      2014  : "b",
      2015  : "c",
      "foo" : "bar",

## extending_dict_some_more.py
class info(dict):
    def add_item(self, item_name, question, type = None):
        answer = raw_input(question)
        if type is not None:
            answer = type(answer)
        self[item_name] = answer

a = info()
a.add_item("name",  "What is your name? ")
a.add_item("quest", "What is your quest? ")

## stretch.py
def discrete_stretch(array, size):
    """ Expands 2d array by some factor.
        For example the following array is expanded by a factor of 3

        [ 1  2 ]
        [ 3  4 ]

        [ 1  1  1  2  2  2]
        [ 1  1  1  2  2  2]
        [ 1  1  1  2  2  2]

## geom_mediod.py
from scipy.spatial.distance import euclidean

points = [
    [1,3],
    [2,4],
    [3,3],
    [4,5],
    [3,7],
    [5,1],
    [5,3],

## list_comp.py
#
#     Solution to a question posed in https://www.reddit.com/r/learnpython/comments/72ll3i/list_comprehension_help/
#
#     def gen_function_that_can_be_one_lined(my_list):
#         for i, x in enumerate(my_list):
#             for y in x:
#                 yield ( i, y)
#

#List
	class B:
	def __init__(self):
	self.data = []
	def update(self, row):
	for r in row:
	self.data.append(r)
	def finalize(self):
	return np.reshape(self.data, newshape=(len(self.data)/5, 5))

	ax = B()
	import numpy as np
	class EpsGreedy()
	def __init__(self, number_of_bandits, epsilon, start_greedy= True):
	self.count = np.zeros(number_of_bandits)
	self.scores = np.array([int(!start_greedy)] * number of bandits)
	self.epsilon = epsilon
	self.bandit_count = number_of_bandits
	def select_arm():
	choice = np.random.binomial(1,self.epsilon):
	if choice = 1: #EXPLORE
	import math
	import random


	def categorical_draw(probs):
	'''
	if
	P(A) = .5
	P(B) = .2
	P(C) = .3
	my_dict = dict({
	1 : "",
	2 : "",
	3 : "oyy",
	"oyy" : "",
	1990 : 's kid',
	2000 : "a",
	2014 : "b",
	2015 : "c",
	"foo" : "bar",
	class info(dict):
	def add_item(self, item_name, question, type = None):
	answer = raw_input(question)
	if type is not None:
	answer = type(answer)
	self[item_name] = answer

	a = info()
	a.add_item("name", "What is your name? ")
	a.add_item("quest", "What is your quest? ")
	def discrete_stretch(array, size):
	""" Expands 2d array by some factor.
	For example the following array is expanded by a factor of 3

	[ 1 2 ]
	[ 3 4 ]

	[ 1 1 1 2 2 2]
	[ 1 1 1 2 2 2]
	[ 1 1 1 2 2 2]
	from scipy.spatial.distance import euclidean

	points = [
	[1,3],
	[2,4],
	[3,3],
	[4,5],
	[3,7],
	[5,1],
	[5,3],
	#
	# Solution to a question posed in https://www.reddit.com/r/learnpython/comments/72ll3i/list_comprehension_help/
	#
	# def gen_function_that_can_be_one_lined(my_list):
	# for i, x in enumerate(my_list):
	# for y in x:
	# yield ( i, y)
	#

	#List