Updated factors_list to all_factors in README.md

Signed-off-by: Grace Sng <[email protected]>

Author: grace-sng7

pywhyllm/suggesters/identification_suggester.py

@@ -118,7 +118,7 @@ def suggest_backdoor(
             outcome: str,
             factors_list: list(),
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         backdoor_set = self.model_suggester.suggest_confounders(
@@ -138,7 +138,7 @@ def suggest_frontdoor(
             outcome: str,
             factors_list: list(),
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         pass
@@ -149,7 +149,7 @@ def suggest_mediators(
             outcome: str,
             factors_list: list(),
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         expert_list: List[str] = list()
@@ -189,7 +189,7 @@ def request_mediators(
             domain_expertise,
             factors_list,
             mediators_edges,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         mediators: List[str] = list()
 
@@ -264,7 +264,7 @@ def suggest_ivs(
             outcome: str,
             factors_list: list(),
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         expert_list: List[str] = list()

pywhyllm/suggesters/model_suggester.py

@@ -19,7 +19,7 @@ def suggest_domain_expertises(
             self,
             factors_list,
             n_experts: int = 1,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
 
         expertise_list: List[str] = list()
@@ -63,7 +63,7 @@ def suggest_domain_experts(
             self,
             factors_list,
             n_experts: int = 5,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
 
         experts_list: Set[str] = set()
@@ -106,7 +106,7 @@ def suggest_stakeholders(
             self,
             factors_list,
             n_stakeholders: int = 5,  # must be > 1
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
 
         stakeholder_list: List[str] = list()
@@ -197,7 +197,7 @@ def request_confounders(
             domain_expertise,
             factors_list,
             confounders_edges,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         confounders: List[str] = list()
 
@@ -270,7 +270,7 @@ def suggest_parents(
             domain_expertise,
             factor,
             factors_list,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         parent_candidates: List[str] = []
 
@@ -336,7 +336,7 @@ def suggest_children(
             domain_expertise,
             factor,
             factors_list,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
 
         children_candidates: List[str] = []
@@ -469,7 +469,7 @@ def suggest_relationships(
             outcome: str,
             factors_list: list,
             expertise_list: list,
-            relationship_strategy: RelationshipStrategy = RelationshipStrategy.Parent,
+            relationship_strategy: RelationshipStrategy = RelationshipStrategy.Pairwise,
             analysis_context: str = CONTEXT,
             stakeholders: list = None,
     ):

pywhyllm/suggesters/validation_suggester.py

@@ -25,7 +25,7 @@ def suggest_negative_controls(
             outcome: str,
             factors_list: list(),
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         expert_list: List[str] = list()
@@ -66,7 +66,7 @@ def request_negative_controls(
             factors_list: list(),
             negative_controls_counter: list(),
             domain_expertise: str,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         negative_controls_list: List[str] = list()
 
@@ -135,7 +135,7 @@ def suggest_latent_confounders(
             treatment: str,
             outcome: str,
             expertise_list: list(),
-            analysis_context=CONTEXT,
+            analysis_context: str = CONTEXT,
             stakeholders: list() = None
     ):
         expert_list: List[str] = list()
@@ -169,7 +169,7 @@ def request_latent_confounders(
             outcome: str,
             latent_confounders_counter: list(),
             domain_expertise: str,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         latent_confounders_list: List[str] = list()
 
@@ -229,7 +229,7 @@ def request_parent_critique(
             factor,
             factors_list,
             domain_expertise,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         edited_factors_list: List[str] = []
 
@@ -282,7 +282,7 @@ def request_children_critique(
             factor,
             factors_list,
             domain_expertise,
-            analysis_context=CONTEXT
+            analysis_context: str = CONTEXT
     ):
         edited_factors_list: List[str] = []
 
@@ -392,7 +392,7 @@ def critique_graph(
             factors_list: List[str],
             edges: Dict[Tuple[str, str], int],
             experts: list(),
-            relationship_strategy: RelationshipStrategy = RelationshipStrategy.Parent,
+            relationship_strategy: RelationshipStrategy = RelationshipStrategy.Pairwise,
             analysis_context: str = CONTEXT,
             stakeholders: list() = None,
     ):