Hi,
Take the utilities.py from chapter-2 code and put in your python 35 lib
and import it

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Hi,
Use (from pkgutil import extend_path) and run the code. It should work!

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Building a Decision Tree classifier in Chapter 3

Use the following below imports for "visualize_classifier" to work.

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
from sklearn.metrics import classification_report,confusion_matrix
from sklearn.cross_validation import train_test_split
from sklearn.tree import DecisionTreeClassifier

Decision Trees classifier

params = {'random_state': 0, 'max_depth': 4}
classifier = DecisionTreeClassifier(**params)
classifier.fit(X_train, y_train)
visualize_classifier(classifier, X_train, y_train, 'Training dataset')

Output

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which code of chapter 2 please explain or give the code @sabya786

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Hi, I'm having the same problem and I try what @asghar3166 said, but it did not work. Can some help us please!!

`Python 3.6.7 (default, Oct 22 2018, 11:32:17)
[GCC 8.2.0] on linux
Type "help", "copyright", "credits" or "license()" for more information.

import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt
from utilities import visualize_classifier
Traceback (most recent call last):
File "<pyshell#3>", line 1, in
from utilities import visualize_classifier
ModuleNotFoundError: No module named 'utilities'
from pkgutil import extend_path
from utilities import visualize_classifier
Traceback (most recent call last):
File "<pyshell#5>", line 1, in
from utilities import visualize_classifier
ModuleNotFoundError: No module named 'utilities'
`

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Do use the following code in place of from utilities import visualize_classifier to achieve the output.
def visualize_classifier(classifier, X, y):
# Define the minimum and maximum values for X and Y
# that will be used in the mesh grid
min_x, max_x = X[:, 0].min() - 1.0, X[:, 0].max() + 1.0
min_y, max_y = X[:, 1].min() - 1.0, X[:, 1].max() + 1.0

Hope this helps you find the solution.
You can find the code block in utilites.py file

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You can just remove the line 'utilities import visualize_classifier'. Then it will work fine as we are defining function visualize_classifier later in the code

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Apart from downgrading matplotlib to 3.5.3, you can disable File | Settings | Tools | Python Scientific | Show plots in tool window.

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