xiaocainiao_nixi的博客

开始自己的学习之旅

1.f means Features , and this is also for hypothesis.2.kernel function is similarity function.f>0,the same clusterf3.x1,x2,two Features4.

1.l1,l2 means training examples2.3.we want to get lemma4.

import pandas as pd     --pandas: read data setfrom sklearn import linear_model    -- (scikit learn maschine learning databse )import matplotlib.pyplot as plt                 --visualisieren model

from numpy import exp, array, random, dotclass NeuralNetwork(): # generate the weights def __init__(self): # Seed the random number generator, so it generates the same numb

import numpy as np#step 1 Collect Datax = np.array([[0,0,1],              [0,1,1],              [1,0,1],              [1,1,1]])print(x)                      #x value and y valuey = n

import pandas as pd#read the valuesnewdata = pd.read_csv('annotations_final.csv',sep="\t")# show the headnewdata.head(5)#show infonewdata.info()newdata.columns#concate

1.import numpy as npx = np.array([[-1,-1,-1],[-2,-1,-1.5],[-3,-2,-2]])x#normalize the datax_scaled = np.array(list(map(lambda y:(y-np.mean(y))/np.std(y),x.T))).Tx_scaled#Get th