I tried to classify dragon ball by adaline

Introduction

--What is adaline? --Data used this time

What is adaline

There was a very easy-to-understand article, so I will post it. It's an improved version of the so-called Perset Pron. 2.ADALINE

Data used this time

This time, I will use the data of quite famous iris. https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data Please download this.

Implementation

This time I would like to implement it in python. As part of the lesson, I wrote it without much research, so please understand that there are some parts that are not functionalized.

import pandas as pd
import numpy as np
from matplotlib import pyplot as plt

df = pd.read_csv(‘iris-data.csv’,header=None)
df_new = df.drop(columns=[1,3])
df_new = df_new.replace(‘Iris-setosa’,0)
df_new = df_new.replace(‘Iris-versicolor’,1)
df_new

eta = 0.001
epoch = 100
cost_=[]
t = np.array(df_new[4])
X = np.array([df_new[0],df_new[2]]).T
w = np.random.normal(0.0, 0.01, size=X.shape[1] + 1)

# Check the initial value of the weight
print(w)

for I in range(epoch):
        input_ = np.dot(X,w[1:])+w[0]
        predict = np.where(input_>= 0, 1, 0)
        errors = t - predict

 #Update to weight
        w[1:] += eta * np.dot(errors,X)
        w[0] += eta * errors.sum()

 #Calculation of cost function
        cost = (errors**2).sum() / 2.0
        cost_.append(cost)

# Checking the weight
print(w)


# Plot for the time being
x_a = range(4,8)
y_a = [-(w[1]/w[2])*xi-(w[0]/w[2]) for xi in x_a]
plt.scatter(df_new.iloc[:50,0],df_new.iloc[:50,1],label = ‘Iris-versicolor’)  
plt.scatter(df_new.iloc[50:,0],df_new.iloc[50:,1],label = ‘Iris-setosa’)
plt.ylabel(“petal length[cm]”)
plt.xlabel(“sepal length[cm]”)
plt.plot(x_a,y_a)
plt.legend()
plt.show()

image.png

I wrote it almost sequentially, but the graph is plotted well. I am glad that I was able to deepen my understanding of adaline.

Finally

How was that? It's not very clean code, but I posted it because I also wrote python. In the future, I would like to post higher-level items.

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