Example #1
0
 def get_point_error(self, x, t):
     """Return network error for ONE datapoint"""
     # Update error, see 4.2 in miniproject description
     assert len(x) == self.d, "Invalid size of data point (x)"
     a = self.compute_layers_output(x)
     # Compute log(1 + e^(-t*a)) as (-t*a + log(1 + e^(t*a)))
     temp = -t*a
     assert type(temp) == s.float64
     return temp + s.log1p(s.exp(-temp))
Example #2
0
	def total_error(self, result, expected, k):
		error = 0
		tmp = - result * expected
		

		if k==2 :
			#Negative error
			error += sp.sum(sp.log1p(sp.exp(tmp[tmp<0])))
			#Positive error
			error += sp.sum(tmp[tmp>=0]+sp.log(1+sp.exp(tmp[tmp>=0])))
			misclassified = sp.sum(sp.absolute(sp.sign(result)-expected))/2
		else :
			error += 0.5*sp.sum(LA.norm(result-expected)**2)
			misclassified = sp.sum(sp.argmax(result,axis=0)!=sp.argmax(expected, axis=0))
		misclassified /= result.shape[1]*1.0

		return error, misclassified
data['price'].describe()

# In[540]:

plt.figure(figsize=(8, 7))
sns.distplot(data.price)

# In[541]:

data.price.skew()  # 왜도
#data.price.kurt() # 첨도

# In[542]:

data['log_price'] = sp.log1p(data['price'])

# In[543]:

sns.distplot(data.log_price)

# In[544]:

plt.hist(data.log_price)  #빈도수

# In[545]:

a = (data.corr()[data.corr() > 0.5].sum() > 1)

# In[546]: