[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,
-)