Adding Local Adaptive Streaming Tree

river/stream/iter_arff.py

@@ -176,7 +176,7 @@ def iter_arff(
             x = {
                 name: cast(val) if cast else val
                 for name, cast, val in zip(names, casts, r.rstrip().split(","))
-                if val != "?"
+                if val != "?" and val != ""
             }
 
         # Handle target
@@ -185,7 +185,10 @@ def iter_arff(
             if isinstance(target, list):
                 y = {name: x.pop(name, 0) for name in target}
             else:
-                y = x.pop(target) if target else None
+                try:
+                    y = x.pop(target) if target else None
+                except KeyError:
+                    y = None
 
         yield x, y
 

river/tree/__init__.py

@@ -59,6 +59,7 @@
 from .hoeffding_tree_classifier import HoeffdingTreeClassifier
 from .hoeffding_tree_regressor import HoeffdingTreeRegressor
 from .isoup_tree_regressor import iSOUPTreeRegressor
+from .last_classifier import LASTClassifier
 from .stochastic_gradient_tree import SGTClassifier, SGTRegressor
 
 __all__ = [
@@ -70,6 +71,7 @@
     "HoeffdingTreeRegressor",
     "HoeffdingAdaptiveTreeRegressor",
     "iSOUPTreeRegressor",
+    "LASTClassifier",
     "SGTClassifier",
     "SGTRegressor",
 ]

river/tree/hoeffding_adaptive_tree_classifier.py

@@ -129,6 +129,7 @@ class HoeffdingAdaptiveTreeClassifier(HoeffdingTreeClassifier):
     >>> metric = metrics.Accuracy()
 
     >>> evaluate.progressive_val_score(dataset, model, metric)
+
     Accuracy: 91.49%
 
     """