Add PID and BB Controllers

configs/local_bb.yaml

@@ -0,0 +1,23 @@
+env:
+  id: "simglucose/multi-patient-v0"
+  entry_point: "simglucose.envs:T1DSimGymnaisumEnv"
+  max_episode_steps: 10000
+  patient_name: "all" # Use all available patients, can also be a list of patient names or a single patient name
+  discrete_action_space: False
+  discrete_observation_space: False
+seed: 42
+model_name: "BB"
+action_noise:
+  mean: 0
+  sigma: 0.25
+model:
+  kwargs:
+    target: 140
+eval:
+  eval_freq: 5000
+  n_eval_episodes: 5
+predict:
+  predict_steps: 1000
+device: "cpu"
+run_directory: "./runs/local_bb"
+mode: ["predict", "analyze"]

configs/local_pid.yaml

@@ -0,0 +1,26 @@
+env:
+  id: "simglucose/multi-patient-v0"
+  entry_point: "simglucose.envs:T1DSimGymnaisumEnv"
+  max_episode_steps: 1000
+  patient_name: "all" # Use all available patients, can also be a list of patient names or a single patient name
+  discrete_action_space: False
+  discrete_observation_space: False
+seed: 42
+model_name: "PID"
+action_noise:
+  mean: 0
+  sigma: 0.25
+model:
+  kwargs:
+    P: 0.0005
+    I: 0
+    D: 0.05
+    target: 140
+eval:
+  eval_freq: 5000
+  n_eval_episodes: 5
+device: "cpu"
+predict:
+  predict_steps: 1000
+run_directory: "./runs/local_pid"
+mode: ["predict", "analyze"]

runs/local_bb/results/analysis/CVGA_stats.csv

@@ -0,0 +1,2 @@
+,A,B,C,D,E
+0,0.06666666666666667,0.4666666666666667,0.13333333333333333,0.26666666666666666,0.06666666666666667

runs/local_bb/results/analysis/performance_stats.csv

@@ -0,0 +1,31 @@
+,70<=BG<=180,BG>180,BG<70,BG>250,BG<50,LBGI,HBGI,Risk Index
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+adolescent#004_predict,75.82417582417582,24.175824175824175,0.0,4.295704295704296,0.0,0.49732243223167694,4.7937209279236255,5.291043360155302
+adult#007_predict,100.0,0.0,0.0,0.0,0.0,0.5933770996120123,0.6869620225848739,1.280339122196886
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+adult#009_predict,90.5094905094905,9.490509490509492,0.0,0.0,0.0,0.3914403288124173,2.7020463598925115,3.093486688704928
+adolescent#003_predict,81.01898101898102,13.886113886113884,5.094905094905095,0.0,0.0,1.2034891961849037,3.167777391198366,4.37126658738327
+adolescent#006_predict,62.13786213786214,35.66433566433567,2.197802197802198,9.69030969030969,0.0,0.7335949424918045,7.163898138023101,7.897493080514904
+adult#010_predict,77.62237762237763,9.19080919080919,13.186813186813188,0.2997002997002997,0.0,3.025059815513631,1.7566162129254321,4.781676028439062
+child#003_predict,42.65734265734265,0.0,57.34265734265735,0.0,27.072927072927072,17.40389984071244,0.23972078580671152,17.643620626519155
+adult#005_predict,92.10789210789211,7.892107892107893,0.0,0.0,0.0,0.3212567652725404,2.0717996079445182,2.3930563732170587
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+adult#006_predict,100.0,0.0,0.0,0.0,0.0,0.2619008218262945,0.8504580058815843,1.1123588277078789
+adolescent#005_predict,96.8031968031968,3.196803196803197,0.0,0.0,0.0,0.019484982965892125,1.2626566306473022,1.2821416136131945
+child#009_predict,66.63336663336663,21.37862137862138,11.988011988011989,8.49150849150849,0.0,1.9483113450692653,5.080573419823817,7.028884764893082
+child#010_predict,100.0,0.0,0.0,0.0,0.0,0.23578266594150016,0.8763543440857314,1.112137010027232
+adolescent#009_predict,100.0,0.0,0.0,0.0,0.0,0.3787254833387812,1.0262580903882825,1.4049835737270635
+adult#003_predict,89.81018981018981,10.18981018981019,0.0,0.0,0.0,0.14230999247472687,2.180951607246008,2.3232615997207344
+child#005_predict,71.12887112887113,13.286713286713287,15.584415584415584,1.898101898101898,2.5974025974025974,3.1679035950525845,2.665001732185539,5.832905327238124