Fix: Implement hotfix from #1407, aimed at master

autosklearn/__version__.py

@@ -1,4 +1,4 @@
 """Version information."""
 
 # The following line *must* be the last in the module, exactly as formatted:
-__version__ = "0.14.3"
+__version__ = "0.14.6"

autosklearn/automl.py

@@ -485,6 +485,7 @@ def _do_dummy_prediction(self, datamanager: XYDataManager, num_run: int) -> int:
         ta = ExecuteTaFuncWithQueue(
             backend=self._backend,
             autosklearn_seed=self._seed,
+            multi_objectives=["cost"],
             resampling_strategy=self._resampling_strategy,
             initial_num_run=num_run,
             stats=stats,
@@ -1341,6 +1342,7 @@ def fit_pipeline(
             backend=self._backend,
             autosklearn_seed=self._seed,
             abort_on_first_run_crash=False,
+            multi_objectives=["cost"],
             cost_for_crash=get_cost_of_crash(kwargs["metric"]),
             port=self._logger_port,
             **kwargs,

autosklearn/evaluation/__init__.py

@@ -131,6 +131,7 @@ def __init__(
         abort_on_first_run_crash: bool,
         port: int,
         pynisher_context: str,
+        multi_objectives: List[str],
         initial_num_run: int = 1,
         stats: Optional[Stats] = None,
         run_obj: str = "quality",
@@ -146,7 +147,6 @@ def __init__(
         ta: Optional[Callable] = None,
         **resampling_strategy_args: Any,
     ):
-
         if resampling_strategy == "holdout":
             eval_function = autosklearn.evaluation.train_evaluator.eval_holdout
         elif resampling_strategy == "holdout-iterative-fit":

autosklearn/util/single_thread_client.py

@@ -1,4 +1,5 @@
 import typing
+from typing import Any
 
 from pathlib import Path
 
@@ -67,8 +68,24 @@ def submit(
         func: typing.Callable,
         *args: typing.List,
         priority: int = 0,
-        **kwargs: typing.Dict,
+        key: Any = None,
+        workers: Any = None,
+        resources: Any = None,
+        retries: Any = None,
+        fifo_timeout: Any = "100 ms",
+        allow_other_workers: Any = False,
+        actor: Any = False,
+        actors: Any = False,
+        pure: Any = None,
+        **kwargs: Any,
     ) -> typing.Any:
+        """
+        Note
+        ----
+        The keyword arguments caught in `dask.distributed.Client` need to
+        be specified here so they don't get passed in as ``**kwargs`` to the
+        ``func``.
+        """
         return DummyFuture(func(*args, **kwargs))
 
     def close(self) -> None:

doc/releases.rst

@@ -9,6 +9,26 @@
 Releases
 ========
 
+Version 0.14.6
+==============
+
+* HOTFIX #1407: Catches keyword arguments in `SingleThreadedClient` so they don't get passed to it's executing `func`.
+
+Contributors v0.14.6
+********************
+* Eddie Bergman
+
+
+Version 0.14.5
+==============
+
+* HOTFIX: Release PyPi package with ``automl_common`` included
+
+Contributors v0.14.5
+********************
+* Eddie Bergman
+
+
 Version 0.14.3
 ==============
 

test/test_evaluation/test_evaluation.py

@@ -91,6 +91,7 @@ def test_eval_with_limits_holdout(self, pynisher_mock):
             autosklearn_seed=1,
             port=self.logger_port,
             resampling_strategy="holdout",
+            multi_objectives=["cost"],
             stats=self.stats,
             memory_limit=3072,
             metric=accuracy,
@@ -121,6 +122,7 @@ def test_zero_or_negative_cutoff(self, pynisher_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             metric=accuracy,
@@ -150,6 +152,7 @@ def test_cutoff_lower_than_remaining_time(self, pynisher_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             metric=accuracy,
@@ -181,6 +184,7 @@ def test_eval_with_limits_holdout_fail_silent(self, pynisher_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -251,6 +255,7 @@ def test_eval_with_limits_holdout_fail_memory_error(self, pynisher_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -292,6 +297,7 @@ def test_eval_with_limits_holdout_fail_timeout(self, pynisher_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -341,6 +347,7 @@ def side_effect(**kwargs):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -376,6 +383,7 @@ def side_effect(**kwargs):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -419,6 +427,7 @@ def side_effect(*args, **kwargs):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -454,6 +463,7 @@ def test_exception_in_target_function(self, eval_holdout_mock):
             backend=self.backend,
             autosklearn_seed=1,
             port=self.logger_port,
+            multi_objectives=["cost"],
             resampling_strategy="holdout",
             stats=self.stats,
             memory_limit=3072,
@@ -490,6 +500,7 @@ def test_silent_exception_in_target_function(self):
             port=self.logger_port,
             autosklearn_seed=1,
             resampling_strategy="holdout",
+            multi_objectives=["cost"],
             stats=self.stats,
             memory_limit=3072,
             metric=accuracy,