sabarezaeii
commented
1 year ago I also have tried this below code which I found in in your github http://rasbt.github.io/mlxtend/user_guide/plotting/plot_decision_regions/ and ran that both on a jupyter notebook on my computer and google Collab, and I gat the same error: axis() got an unexpected keyword argument 'y_min' !!
from mlxtend.plotting import plot_decision_regions import matplotlib.pyplot as plt from sklearn import datasets from sklearn.svm import SVC
iris = datasets.load_iris() X = iris.data[:, [0, 2]] y = iris.target
svm = SVC(C=0.5, kernel='linear') svm.fit(X, y)
plot_decision_regions(X, y, clf=svm, legend=2)
plt.xlabel('sepal length [cm]') plt.ylabel('petal length [cm]') plt.title('SVM on Iris') plt.show()
rasbt
Hello, I am having the same issue. I am trying to run a very simple example to check plot_decision_regions and I get the following error:
axis() got an unexpected keyword argument 'y_min'
my code:
X = np.array([[0.3,1],[0.5,4.5],[1,2.3],[1.4,1.9],[1.7,8.9],[2,4.1],[3.3,7],[3.5,1.5],[4,6.3],[4.4,1.9],[5.7,2.9],[6,7.1]]) y = np.array([0,0,0,0,0,0,1,1,1,1,1,1]) plot_decision_regions( X, y, clf=classifier, legend=2)
plt.show()