I\'m trying to denote the predictions with a color and the correct labels as markers for the iris data set. Here is what I have so far:
from sklearn.mixture
You could modify your code like the following to get the desired result:
markers = ["o" , "s" , "D"]
colors = ["red", "green", "blue"]
for i in range(4):
for j in range(4):
for k in range(x.shape[0]):
if(i != j):
axes[i, j].scatter(x[k, i], x[k, j], color=colors[labels[k]], marker = markers[y[k]], s=40, cmap='viridis')
else:
axes[i,j].text(0.15, 0.3, Superman[i], fontsize = 8)