[WIP] Model harness for the AERIS model

examples/aeris/aeris.toml

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+# aeris.toml  —  AERIS continuous-learning
+seed = 42
+device = "auto"
+multi_gpu = false
+verbosity = "INFO:1"
+
+[model]
+name = "aeris_init.pt"
+pretrained_path = "examples/aeris/model"
+max_ckpts = 100
+ckpts_path = "output/aeris/"
+
+[data]
+name = "aeris"
+path = "examples/aeris/data/aeris_dataset.csv"
+batch_size = 16
+
+[train]
+batch_size = 300
+num_workers = 4
+init_lr = 1e-3
+max_iter = 100
+grad_accumulation_steps = 1
+
+[continual_learning]
+update_mode = "ewc_online"
+mix_historic_data = true
+
+# JVP regularization (used when update_mode = "jvp_reg")
+jvp_rho_theta = 0.05
+jvp_rho_x = 1.0
+jvp_data_sign = 1.0
+
+# EWC (used when update_mode = "ewc_online")
+ewc_lambda = 1000.0
+ewc_ema_decay = 0.95
+
+# KFAC (used when update_mode = "kfac_online")
+kfac_lambda = 1e-2
+kfac_ema_decay = 0.95
+
+[drift_detection]
+detector_name = "KSWINDetector"
+detection_interval = 2
+aggregation = "mean"
+metric_index = 1
+reset_after_learning = true
+max_stream_updates = 84
+
+# --- ADWINDetector ---
+adwin_delta = 0.9
+adwin_minor_threshold = 0.1
+adwin_moderate_threshold = 0.6
+
+# --- KSWINDetector ---
+kswin_alpha = 0.05
+kswin_window_size = 100
+kswin_stat_size = 30
+
+# --- PageHinkleyDetector ---
+ph_min_instances = 30
+ph_delta = 0.005
+ph_threshold = 0.6
+ph_alpha = 0.9999
+
+[logging]
+backend = "wandb"
+experiment_name = "aeris-cl"
+# mlflow_tracking_uri = "http://127.0.0.1:5000"