Using support vector machines for classification tasks
In this recipe, we introduce support vector machines, or SVMs. These models can be used for classification and regression. Here, we illustrate how to use linear and nonlinear SVMs on a simple classification task. This recipe is inspired by an example in the scikit-learn documentation (see http://scikit-learn.org/stable/auto_examples/svm/plot_svm_nonlinear.html).
How to do it...
- Let's import the packages:
>>> import numpy as np import pandas as pd import sklearn import sklearn.datasets as ds import sklearn.model_selection as ms import sklearn.svm as svm import matplotlib.pyplot as plt %matplotlib inline
- We generate 2D points and assign a binary label according to a linear operation on the coordinates: ...
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