Fix default settings which prevent copying of setting states between master...

Fix default settings which prevent copying of setting states between master and worker processes in multithreaded mode. 

conML/shared/settings.py

@@ -76,8 +76,10 @@ class GeneralSettings:
     """Influence the global framework.
 
     """
-    highest_level: int = HighestLevel()
-    kernel_bandwidth: float = KernelBandwidth()
+    # Never ever set the defaults here like shown below. This was used before and breaks copying between processes
+    # (especially pickling) for some unknown reason, which leads to weird bugs
+    highest_level: int #= HighestLevel()
+    kernel_bandwidth: float 
 
     def __str__(self):
         return "\n".join([
@@ -90,9 +92,9 @@ class BlockProcessingSettings:
     """Influence the block drawing.
 
     """
-    learn_block_minimum: int = LearnblockMinimum()
-    sigma_zeta_cutoff: float = SigmaZetaCutoff()
-    min_category_size: int = MinCategorySize()
+    learn_block_minimum: int 
+    sigma_zeta_cutoff: float 
+    min_category_size: int 
 
     def __str__(self):
         return "\n".join([
@@ -106,10 +108,10 @@ class ConstructionSettings:
     """Influence the construction step.
 
     """
-    max_categories: int = MaxCategories()
-    min_category_size: int = MinCategorySize()
-    max_model_targets: int = MaxModelTargets()
-    max_target_error: float = MaxTargetError()
+    max_categories: int 
+    min_category_size: int 
+    max_model_targets: int 
+    max_target_error: float 
 
     def __str__(self):
         return "\n".join([
@@ -133,10 +135,10 @@ class FeatureSelectionSettings:
     """Influence the feature selection step.
 
     """
-    max_features: int = MaxFeatures()
-    max_filter_x: int = MaxFilterX()
-    max_filter_y: int = MaxFilterY()
-    max_model_reduction: bool = MaxModelsReduction()
+    max_features: int 
+    max_filter_x: int 
+    max_filter_y: int 
+    max_model_reduction: bool
 
     def __str__(self):
         return "\n".join([
@@ -153,13 +155,13 @@ class ReconstructionSettings:
     """Influence the reconstruction step.
 
     """
-    min_test_accuracy: float = MinTestAccuracy()
-    max_test_error_avg: float = MaxTestErrorAvg()
-    max_test_error_max: float = MaxTestErrorMax()
-    reliability_sample: float = ReliabilitySample()
-    min_reliability: float = MinReliability()
-    reduce_model_redundancy: bool = ReduceModelRedundancy()
-    min_build_models: int = MinBuildModels()
+    min_test_accuracy: float 
+    max_test_error_avg: float
+    max_test_error_max: float
+    reliability_sample: float
+    min_reliability: float 
+    reduce_model_redundancy: bool
+    min_build_models: int 
 
     def __str__(self):
         return "\n".join([
@@ -178,14 +180,14 @@ class DeconstructionSettings:
     """Influence the deconstruction step.
 
     """
-    deconst_strategy: str = DeconstStrategy()
-    deconst_mode: str = DeconstMode()
-    deconst_max_distance_t: int = DeconstMaxDistanceT()
-    deconst_full_tolerance: float = DeconstFullTolerance()
-    force_time_expansion: bool = ForceTimeExpansion()
-    allow_weak_reliability: bool = AllowWeakReliability()
-    learn_block_minimum: int = LearnblockMinimum
-    min_reliability: float = MinReliability()
+    deconst_strategy: str 
+    deconst_mode: str 
+    deconst_max_distance_t: int 
+    deconst_full_tolerance: float 
+    force_time_expansion: bool 
+    allow_weak_reliability: bool 
+    learn_block_minimum: int 
+    min_reliability: float 
 
     def __str__(self):
         return "\n".join([