felipessalvatore

#Num momento do Assigment 1 precisei comparar duas arrays de arrays
#com um número grande de elementos. Fazer um loop duplo é custoso demais.
#Uma saida que achei no forum foi usar o hash do python. Assim, geramos um
#código único para cada array e comparamos os códigos e não as arrays.
#exemplo:

import hashlib

a = np.arrange([np.arrange([1,2]),np.arrange([2,2]), np.arrange([3,2])])
b = np.arrange([np.arrange([1,2]),np.arrange([2,222]), np.arrange([3333,2])])

felipessalvatore

import matplotlib
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

%matplotlib inline


features = np.array([0.8,0.9,1.0,1.1,1.4,\

felipessalvatore

#APPLIED TO THE IRIS DATASET
import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
import os
from sklearn.linear_model import LogisticRegression
from six.moves import cPickle as pickle
from sklearn.datasets import load_iris
%matplotlib inline

felipessalvatore

import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
import os
from sklearn.linear_model import LogisticRegression
from six.moves import cPickle as pickle
from sklearn.datasets import load_iris

%matplotlib inline

felipessalvatore

import random
import numpy as np
import matplotlib.pyplot as plt
from pylab import norm

class BasicNN:
    
    bias = 0.5
    weights = []
    

felipessalvatore

#SOFTMAX FUNCTION

import matplotlib.pyplot as plt
import numpy as np
import scipy as sp
import os
from sklearn.linear_model import LogisticRegression
from six.moves import cPickle as pickle
from sklearn.datasets import load_iris
%matplotlib inline

felipessalvatore

#ARRAY TRANSFORMATION 

import numpy as np

#o melhor modo de transformar uma lista de matrizes n x n
# em uma lista de listas de tamanho n*n eh


def reformat(lista,n):
    lista = lista.reshape((-1, n*n)).astype(np.float32)

felipessalvatore

#>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>saving

import pickle 

a = 1
b = [23,4,4,22]
c = "Hello"
d = "Baby I got me"
e = 99999

felipessalvatore

class Conta:
    #Exemplo mais simples de classe"
    
    #Como inicialiar o objeto de uma classe"
    def __init__(self):
        self.data = []
        self.saldo = 2200
        self.ano = 2016
        self.nome = "Felipe"
    def f(self,z):

felipessalvatore

from IPython.display import Image
Image(filename="nome do arquivo")