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Machine Learning for OpenCV 4 - Second Edition
book

Machine Learning for OpenCV 4 - Second Edition

by Aditya Sharma, Michael Beyeler (USD), Vishwesh Ravi Shrimali, Michael Beyeler
September 2019
Intermediate to advanced
420 pages
10h 29m
English
Packt Publishing
Content preview from Machine Learning for OpenCV 4 - Second Edition

Visualizing the dataset

We can plot these data points in a scatter plot using Matplotlib. Here, the idea is to plot the x values (found in the first column of X, X[:, 0]) against the y values (found in the second column of X, X[:, 1]). A neat trick is to pass the target labels as color values (c=y):

In [3]: import matplotlib.pyplot as plt...     %matplotlib inline...     plt.scatter(X[:, 0], X[:, 1], c=y, s=100)...     plt.xlabel('x values')...     plt.ylabel('y values')Out[3]: <matplotlib.text.Text at 0x24f7ffb00f0>

This will produce the following output:

The preceding output shows the randomly generated data for a binary classification problem. You can ...

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Publisher Resources

ISBN: 9781789536300