fixing the docs to reflect the usage of a regressor instead of a classifier
@@ -898,7 +898,7 @@ def plot_outlier_candidates(regressor=None, X=None, y=None):
Please note this function fits the model on the training set when called.
Arguments:
- model (regressor): Takes in a fitted classifier.
+ model (regressor): Takes in a fitted regressor.
X (arr): Training set features.
y (arr): Training set labels.
@@ -975,7 +975,7 @@ def plot_residuals(regressor=None, X=None, y=None):
Please note this function fits variations of the model on the training set when called.
Arguments:
- model (regressor): Takes in a fitted classifier.
+ model (regressor): Takes in a fitted regressor.
X (arr): Training set features.
y (arr): Training set labels.
