To fix the error “cannot import name ‘decisionboundarydisplay’ from ‘sklearn.inspection'”, you need to check if you are using the correct version of scikit-learn library and the correct import statement.
The method ‘decisionboundarydisplay’ does not exist in the ‘sklearn.inspection’ module. It is possible that you are using an outdated version of scikit-learn or there might be a typo in the import statement.
To resolve this issue, follow these steps:
- Check scikit-learn version: Make sure you have the latest version of scikit-learn installed. You can check the version by running the following code:
<script type="text/python">
import sklearn
print(sklearn.__version__)
</script>- Verify import statement: Make sure you are importing the correct object from the correct module. The correct import statement for ‘decisionboundarydisplay’ is:
<script type="text/python">
from sklearn.inspection import plot_partial_dependence
</script>Make sure to adapt the import statement to your specific use case.
Here is an example of how to use the ‘decisionboundarydisplay’ method:
<script type="text/python">
import matplotlib.pyplot as plt
from sklearn.inspection import decision_boundary_plot
from sklearn.datasets import load_iris
from sklearn.linear_model import LogisticRegression
# Load the iris dataset
X, y = load_iris(return_X_y=True)
# Initialize logistic regression model
model = LogisticRegression()
# Fit the model
model.fit(X, y)
# Plot the decision boundary
decision_boundary_plot(model, X, y)
plt.show()
</script>