@@ -1191,7 +1191,7 @@ Target Types
11911191 :term: `multiclass ` targets, horizontally stacked into an array
11921192 of shape ``(n_samples, n_outputs) ``.
11931193
1194- XXX : For simplicity, we may not always support string class labels
1194+ Note : For simplicity, we may not always support string class labels
11951195 for multiclass multioutput, and integer class labels should be used.
11961196
11971197 :mod: `~sklearn.multioutput ` provides estimators which estimate multi-output
@@ -1384,7 +1384,7 @@ Methods
13841384 To clear the model, a new estimator should be constructed, for instance
13851385 with :func: `base.clone `.
13861386
1387- NOTE : Using ``partial_fit `` after ``fit `` results in undefined behavior.
1387+ Note : Using ``partial_fit `` after ``fit `` results in undefined behavior.
13881388
13891389 ``predict ``
13901390 Makes a prediction for each sample, usually only taking :term: `X ` as
@@ -1613,7 +1613,7 @@ functions or non-estimator constructors.
16131613 for some algorithms, an improper distance metric (one that does not
16141614 obey the triangle inequality, such as Cosine Distance) may be used.
16151615
1616- XXX: hierarchical clustering uses ``affinity `` with this meaning.
1616+ Note: Hierarchical clustering uses ``affinity `` with this meaning.
16171617
16181618 We also use *metric * to refer to :term: `evaluation metrics `, but avoid
16191619 using this sense as a parameter name.
0 commit comments