hotfix: decrease foraging eff threshold from 0.75 to 0.70 for graduation

To be more conservative...
AllenNeuralDynamics · Apr 15, 2024 · adbfba9 · adbfba9
1 parent 15bb2eb
commit adbfba9
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Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/code/aind_auto_train/curriculums/coupled_baiting_2p0.py b/code/aind_auto_train/curriculums/coupled_baiting_2p0.py
@@ -351,7 +351,7 @@
             decision=Decision.PROGRESS,
             to_stage=TrainingStage.GRADUATED,
             condition_description=("For recent 5 sessions,"
-                                   "mean finished trials >= 500 and mean efficiency >= 0.75 "
+                                   "mean finished trials >= 500 and mean efficiency >= 0.70 "
                                    "and total sessions >= 10 and sessions at final >= 5"),
             condition="""lambda metrics:
                         metrics.session_total >= 10 
@@ -360,7 +360,7 @@
                         and
                         np.mean(metrics.finished_trials[-5:]) >= 500
                         and
-                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.75
+                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.70
                         """,
         ),
         TransitionRule(

diff --git a/code/aind_auto_train/curriculums/uncoupled_baiting_2p0.py b/code/aind_auto_train/curriculums/uncoupled_baiting_2p0.py
@@ -335,7 +335,7 @@
             decision=Decision.PROGRESS,
             to_stage=TrainingStage.GRADUATED,
             condition_description=("For recent 5 sessions,"
-                                   "mean finished trials >= 500 and mean efficiency >= 0.75 "
+                                   "mean finished trials >= 500 and mean efficiency >= 0.70 "
                                    "and total sessions >= 10 and sessions at final >= 5"),
             condition="""lambda metrics:
                         metrics.session_total >= 10 
@@ -344,7 +344,7 @@
                         and
                         np.mean(metrics.finished_trials[-5:]) >= 500
                         and
-                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.75
+                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.70
                         """,
         ),
         TransitionRule(

diff --git a/code/aind_auto_train/curriculums/uncoupled_no_baiting_2p0.py b/code/aind_auto_train/curriculums/uncoupled_no_baiting_2p0.py
@@ -332,7 +332,7 @@
             decision=Decision.PROGRESS,
             to_stage=TrainingStage.GRADUATED,
             condition_description=("For recent 5 sessions,"
-                                   "mean finished trials >= 500 and mean efficiency >= 0.75 "
+                                   "mean finished trials >= 500 and mean efficiency >= 0.70 "
                                    "and total sessions >= 10 and sessions at final >= 5"),
             condition="""lambda metrics:
                         metrics.session_total >= 10 
@@ -341,7 +341,7 @@
                         and
                         np.mean(metrics.finished_trials[-5:]) >= 500
                         and
-                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.75
+                        np.mean(metrics.foraging_efficiency[-5:]) >= 0.70
                         """,
         ),
         TransitionRule(