from yellowbrick.model_selection import FeatureImportances
from sklearn.linear_model import LogisticRegression
from sklearn.datasets import load_iris

data = load_iris()
X, y = data.data, data.target

model = LogisticRegression(multi_class="auto", solver="liblinear")
viz = FeatureImportances(model, stack=True, relative=False)
viz.fit(X, y)
viz.show()