Rename SlicingClassifier -> SliceAwareClassifier (#1453)

* Rename SlicingClassifier -> SliceAwareClassifier

* Rename test

Author: vincentschen

docs/packages/slicing.rst

@@ -14,8 +14,8 @@ Programmatic data set slicing: SF creation, monitoring utilities, and representa
    apply.dask.PandasParallelSFApplier
    PandasSFApplier
    SFApplier
+   SliceAwareClassifier
    SliceCombinerModule
-   SlicingClassifier
    SlicingFunction
    apply.spark.SparkSFApplier
    add_slice_labels

snorkel/slicing/__init__.py

@@ -4,5 +4,5 @@
 from .modules.slice_combiner import SliceCombinerModule  # noqa: F401
 from .monitor import slice_dataframe  # noqa: F401
 from .sf.core import SlicingFunction, slicing_function  # noqa: F401
-from .slicing_classifier import SlicingClassifier  # noqa: F401
+from .sliceaware_classifier import SliceAwareClassifier  # noqa: F401
 from .utils import add_slice_labels, convert_to_slice_tasks  # noqa: F401

snorkel/slicing/slicing_classifier.py renamed to snorkel/slicing/sliceaware_classifier.py

@@ -13,7 +13,7 @@
 from .utils import add_slice_labels, convert_to_slice_tasks
 
 
-class SlicingClassifier(MultitaskClassifier):
+class SliceAwareClassifier(MultitaskClassifier):
     """A slice-aware classifier that supports training + scoring on slice labels.
 
     NOTE: This model currently only supports binary classification.
@@ -87,7 +87,7 @@ def __init__(
         slice_tasks = convert_to_slice_tasks(self.base_task, slice_names)
 
         # Initialize a MultitaskClassifier with all slice_tasks
-        model_name = f"{task_name}_slicing_classifier"
+        model_name = f"{task_name}_sliceaware_classifier"
         super().__init__(tasks=slice_tasks, name=model_name, **multitask_kwargs)
         self.slice_names = slice_names
 

test/slicing/test_slicing_classifier.py renamed to test/slicing/test_sliceaware_classifier.py

@@ -6,7 +6,7 @@
 
 from snorkel.analysis import Scorer
 from snorkel.classification import DictDataset
-from snorkel.slicing import SFApplier, SlicingClassifier, slicing_function
+from snorkel.slicing import SFApplier, SliceAwareClassifier, slicing_function
 
 
 @slicing_function()
@@ -63,7 +63,7 @@ def setUp(self):
             for split in splits
         ]
 
-        self.slice_model = SlicingClassifier(
+        self.slice_model = SliceAwareClassifier(
             base_architecture=self.mlp,
             head_dim=self.hidden_dim,
             slice_names=[sf.name for sf in sfs],