[Refactor] Classification 2/n

docs/source/classification/cohen_kappa.rst

@@ -12,11 +12,43 @@ Cohen Kappa
 Module Interface
 ________________
 
+CohenKappa
+^^^^^^^^^^
+
 .. autoclass:: torchmetrics.CohenKappa
     :noindex:
 
+BinaryCohenKappa
+^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.BinaryCohenKappa
+    :noindex:
+    :exclude-members: update, compute
+
+MulticlassCohenKappa
+^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.MulticlassCohenKappa
+    :noindex:
+    :exclude-members: update, compute
+
 Functional Interface
 ____________________
 
+cohen_kappa
+^^^^^^^^^^^
+
 .. autofunction:: torchmetrics.functional.cohen_kappa
     :noindex:
+
+binary_cohen_kappa
+^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.binary_cohen_kappa
+    :noindex:
+
+multiclass_cohen_kappa
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.multiclass_cohen_kappa
+    :noindex:

docs/source/classification/jaccard_index.rst

@@ -10,11 +10,57 @@ Jaccard Index
 Module Interface
 ________________
 
+CohenKappa
+^^^^^^^^^^
+
 .. autoclass:: torchmetrics.JaccardIndex
     :noindex:
 
+BinaryJaccardIndex
+^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.BinaryJaccardIndex
+    :noindex:
+    :exclude-members: update, compute
+
+MulticlassJaccardIndex
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.MulticlassJaccardIndex
+    :noindex:
+    :exclude-members: update, compute
+
+MultilabelJaccardIndex
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.MultilabelJaccardIndex
+    :noindex:
+    :exclude-members: update, compute
+
+
 Functional Interface
 ____________________
 
+jaccard_index
+^^^^^^^^^^^^^
+
 .. autofunction:: torchmetrics.functional.jaccard_index
     :noindex:
+
+binary_jaccard_index
+^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.binary_jaccard_index
+    :noindex:
+
+multiclass_jaccard_index
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.multiclass_jaccard_index
+    :noindex:
+
+multilabel_jaccard_index
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.multilabel_jaccard_index
+    :noindex:

docs/source/classification/matthews_corr_coef.rst

@@ -5,18 +5,64 @@
 
 .. include:: ../links.rst
 
-####################
-Matthews Corr. Coef.
-####################
+################################
+Matthews Correlation Coefficient
+################################
 
 Module Interface
 ________________
 
+MatthewsCorrCoef
+^^^^^^^^^^^^^^^^
+
 .. autoclass:: torchmetrics.MatthewsCorrCoef
     :noindex:
 
+BinaryMatthewsCorrCoef
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.BinaryMatthewsCorrCoef
+    :noindex:
+    :exclude-members: update, compute
+
+MulticlassMatthewsCorrCoef
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.MulticlassMatthewsCorrCoef
+    :noindex:
+    :exclude-members: update, compute
+
+MultilabelMatthewsCorrCoef
+^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autoclass:: torchmetrics.MultilabelMatthewsCorrCoef
+    :noindex:
+    :exclude-members: update, compute
+
+
 Functional Interface
 ____________________
 
+matthews_corrcoef
+^^^^^^^^^^^^^^^^^
+
 .. autofunction:: torchmetrics.functional.matthews_corrcoef
     :noindex:
+
+binary_matthews_corrcoef
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.binary_matthews_corrcoef
+    :noindex:
+
+multiclass_matthews_corrcoef
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.multiclass_matthews_corrcoef
+    :noindex:
+
+multilabel_matthews_corrcoef
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. autofunction:: torchmetrics.functional.multilabel_matthews_corrcoef
+    :noindex:

src/torchmetrics/__init__.py

@@ -26,7 +26,10 @@
     ROC,
     Accuracy,
     AveragePrecision,
+    BinaryCohenKappa,
     BinaryConfusionMatrix,
+    BinaryJaccardIndex,
+    BinaryMatthewsCorrCoef,
     BinaryStatScores,
     BinnedAveragePrecision,
     BinnedPrecisionRecallCurve,
@@ -45,9 +48,14 @@
     LabelRankingAveragePrecision,
     LabelRankingLoss,
     MatthewsCorrCoef,
+    MulticlassCohenKappa,
     MulticlassConfusionMatrix,
+    MulticlassJaccardIndex,
+    MulticlassMatthewsCorrCoef,
     MulticlassStatScores,
     MultilabelConfusionMatrix,
+    MultilabelJaccardIndex,
+    MultilabelMatthewsCorrCoef,
     MultilabelStatScores,
     Precision,
     PrecisionRecallCurve,
@@ -131,6 +139,8 @@
     "CharErrorRate",
     "CHRFScore",
     "CohenKappa",
+    "BinaryCohenKappa",
+    "MulticlassCohenKappa",
     "ConfusionMatrix",
     "BinaryConfusionMatrix",
     "MulticlassConfusionMatrix",
@@ -147,11 +157,17 @@
     "HammingDistance",
     "HingeLoss",
     "JaccardIndex",
+    "BinaryJaccardIndex",
+    "MulticlassJaccardIndex",
+    "MultilabelJaccardIndex",
     "KLDivergence",
     "LabelRankingAveragePrecision",
     "LabelRankingLoss",
     "MatchErrorRate",
     "MatthewsCorrCoef",
+    "BinaryMatthewsCorrCoef",
+    "MulticlassMatthewsCorrCoef",
+    "MultilabelMatthewsCorrCoef",
     "MaxMetric",
     "MeanAbsoluteError",
     "MeanAbsolutePercentageError",

src/torchmetrics/classification/__init__.py

@@ -11,6 +11,19 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+from torchmetrics.classification.confusion_matrix import (  # noqa: F401 isort:skip
+    BinaryConfusionMatrix,
+    ConfusionMatrix,
+    MulticlassConfusionMatrix,
+    MultilabelConfusionMatrix,
+)
+from torchmetrics.classification.stat_scores import (  # noqa: F401 isort:skip
+    BinaryStatScores,
+    MulticlassStatScores,
+    MultilabelStatScores,
+    StatScores,
+)
+
 from torchmetrics.classification.accuracy import Accuracy  # noqa: F401
 from torchmetrics.classification.auc import AUC  # noqa: F401
 from torchmetrics.classification.auroc import AUROC  # noqa: F401
@@ -19,20 +32,24 @@
 from torchmetrics.classification.binned_precision_recall import BinnedPrecisionRecallCurve  # noqa: F401
 from torchmetrics.classification.binned_precision_recall import BinnedRecallAtFixedPrecision  # noqa: F401
 from torchmetrics.classification.calibration_error import CalibrationError  # noqa: F401
-from torchmetrics.classification.cohen_kappa import CohenKappa  # noqa: F401
-from torchmetrics.classification.confusion_matrix import (  # noqa: F401
-    BinaryConfusionMatrix,
-    ConfusionMatrix,
-    MulticlassConfusionMatrix,
-    MultilabelConfusionMatrix,
-)
+from torchmetrics.classification.cohen_kappa import BinaryCohenKappa, CohenKappa, MulticlassCohenKappa  # noqa: F401
 from torchmetrics.classification.dice import Dice  # noqa: F401
 from torchmetrics.classification.f_beta import F1Score, FBetaScore  # noqa: F401
 from torchmetrics.classification.hamming import HammingDistance  # noqa: F401
 from torchmetrics.classification.hinge import HingeLoss  # noqa: F401
-from torchmetrics.classification.jaccard import JaccardIndex  # noqa: F401
+from torchmetrics.classification.jaccard import (  # noqa: F401
+    BinaryJaccardIndex,
+    JaccardIndex,
+    MulticlassJaccardIndex,
+    MultilabelJaccardIndex,
+)
 from torchmetrics.classification.kl_divergence import KLDivergence  # noqa: F401
-from torchmetrics.classification.matthews_corrcoef import MatthewsCorrCoef  # noqa: F401
+from torchmetrics.classification.matthews_corrcoef import (  # noqa: F401
+    BinaryMatthewsCorrCoef,
+    MatthewsCorrCoef,
+    MulticlassMatthewsCorrCoef,
+    MultilabelMatthewsCorrCoef,
+)
 from torchmetrics.classification.precision_recall import Precision, Recall  # noqa: F401
 from torchmetrics.classification.precision_recall_curve import PrecisionRecallCurve  # noqa: F401
 from torchmetrics.classification.ranking import (  # noqa: F401
@@ -42,9 +59,3 @@
 )
 from torchmetrics.classification.roc import ROC  # noqa: F401
 from torchmetrics.classification.specificity import Specificity  # noqa: F401
-from torchmetrics.classification.stat_scores import (  # noqa: F401
-    BinaryStatScores,
-    MulticlassStatScores,
-    MultilabelStatScores,
-    StatScores,
-)