TetsuyaYoshimoto

from matplotlib.colors import ListedColormap
import matplotlib.pyplot as plt
import numpy as np

def plot_decision_regions(X, y, classifier=None, test_idx=None, resolution=0.02):

    markers = ("s", "x", "o", "^", "v")
    colors = ("red", "blue", "lightgreen", "gray", "cyan")
    cmap = ListedColormap(colors[:len(np.unique(y))])

TetsuyaYoshimoto

from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import export_graphviz
from sklearn.cross_validation import train_test_split
from sklearn import datasets
import matplotlib.pyplot as plt
import myplot as plt2

def main():
    #datasets
    iris = datasets.load_iris()

TetsuyaYoshimoto

class Perceptron(object):
    def __init__(self, eta=0.01, n_iter=10):
        self.eta = eta
        self.n_iter = n_iter
        
    def fit(self, X, y):
        self.w_ = np.zeros(1 + X.shape[1])
        self.errors_ = []

        for _ in range(self.n_iter):

TetsuyaYoshimoto

#encoding=utf-8

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn import datasets

class Perceptron(object):
    def __init__(self, eta=0.01, n_iter=10):
        self.eta = eta