Fix description for support parameters for sklearn patching algorithm for docs
@@ -26,7 +26,7 @@ algorithms:
- Multi-output, sparse data and out-of-bag score are not supported.
* - Classification
- KNeighborsClassifier
- - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` = 2.
+ - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` != 2.
- Multi-output and sparse data is not supported.
* - Classification
- LogisticRegression
@@ -38,7 +38,7 @@ algorithms:
- Multi-output, sparse data and out-of-bag score are not supported.
* - Regression
- KNeighborsRegressor
- - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` = 2.
+ - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` != 2.
- Multi-output and sparse data is not supported.
* - Regression
- LinearRegression
@@ -62,15 +62,19 @@ algorithms:
- No limitations.
* - Clustering
- DBSCAN
- - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` = 2.
+ - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` != 2, `algorithm` != `brute` or `auto`.
- Only dense data is supported.
* - Dimensionality reduction
- PCA
- All parameters except ``svd_solver`` != 'full'.
- Sparse data is not supported.
+ * - Dimensionality reduction
+ - TSNE
+ - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` != 2.
+ - Sparse data is not supported.
* - Unsupervised
- NearestNeighbors
- - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` = 2.
+ - All parameters except ``metric`` != 'euclidean' or ``minkowski`` with ``p`` != 2.
- Sparse data is not supported.
* - Other
- train_test_split
