updated config defaults

download/hf_download_config.yaml

@@ -18,8 +18,8 @@ repo_id: "griffingoodwin04/FOXES"
 #   {aia_dir}/{local_split}/{filename}   ("validation" maps to local dir "val")
 #   {sxr_dir}/{local_split}/{filename}
 # -----------------------------------------------------------------------------
-aia_dir: "./foxes_data/AIA_hg_processed"
-sxr_dir: "./foxes_data/SXR_hg_processed"
+aia_dir: "./foxes_data/AIA_processed"
+sxr_dir: "./foxes_data/SXR_processed"
 
 # -----------------------------------------------------------------------------
 # Splits to download  (any subset of: train, validation, test)

download/sdo_download_config.yaml

@@ -11,10 +11,10 @@
 # =============================================================================
 
 download_dir: "./foxes_data/AIA_raw"
-email: "ggoodwin5@gsu.edu"   # must be registered with JSOC: http://jsoc.stanford.edu/ajax/register_email.html
+email: "your.email@example.com"   # must be registered with JSOC: http://jsoc.stanford.edu/ajax/register_email.html
 
 start_date: "2023-08-01 00:00:00"
-end_date:   "2023-12-01 00:00:00"
+end_date:   "2023-08-02 00:00:00"
 cadence: 60    # minutes between samples
 
 wavelengths: [94, 131, 171, 193, 211, 304, 335]

download/sxr_download_config.yaml

@@ -14,6 +14,6 @@
 save_dir: "./foxes_data/SXR_raw"
 
 start_date: "2023-08-01"
-end_date:   "2023-08-31"
+end_date:   "2023-08-02"
 
 max_workers: 4

forecasting/evaluation_config.yaml

@@ -7,10 +7,10 @@
 # =============================================================================
 
 model_predictions:
-  main_model_csv: "/your/path/to/model_predictions.csv"
+  main_model_csv: "./foxes_data/inference/predictions.csv"
 
 evaluation:
-  output_dir:  "/your/path/to/output_dir"
+  output_dir:  "./foxes_data/evaluation"
 
 plotting:
   regression_background: "black"

forecasting/inference_config.yaml

@@ -17,19 +17,20 @@ prediction_only: "false"
 data:
   # Point these directly at the folder of .npy files you want to run the model
   # on — no special subfolder naming (e.g. "test/") is required or assumed.
-  aia_dir:         "/your/path/to/aia_data"   # ignored if prediction_only: "true"
-  sxr_dir:         "/your/path/to/sxr_data"   # ignored if prediction_only: "true"
-  sxr_norm_path:   "/your/path/to/normalized_sxr.npy"
-  checkpoint_path: "/your/path/to/FOXES_Model_Checkpoint.ckpt"  # update to actual checkpoint
+  # Defaults below point at the test split data/build_dataset.py produces.
+  aia_dir:         "./foxes_data/AIA_processed/test"   # ignored if prediction_only: "true"
+  sxr_dir:         "./foxes_data/SXR_processed/test"   # ignored if prediction_only: "true"
+  sxr_norm_path:   "forecasting/trained_weights_and_normalization/normalized_sxr.npy"
+  checkpoint_path: "forecasting/trained_weights_and_normalization/inverted-attention-mask.ckpt"
 
-output_path: "/your/path/to/inference/predictions.csv"
+output_path: "./foxes_data/inference/predictions.csv"
 
 # Per-sample attention weights (64x64 CSV per timestamp). Set model_params.no_weights: true to skip.
-weight_path: "/your/path/to/inference/weights/"
+weight_path: "./foxes_data/inference/weights/"
 
 # Per-patch flux contribution maps (64x64 CSV per timestamp) — saved automatically
 # during inference whenever flux_path is set and model_params.no_flux is false (default).
-flux_path:   "/your/path/to/inference/flux/"
+flux_path:   "./foxes_data/inference/flux/"
 
 model_params:
   input_size: 512

training/train_config.yaml

@@ -94,11 +94,11 @@ data:
   aia_dir: "./foxes_data/AIA_processed"
   sxr_dir: "./foxes_data/SXR_processed"
   sxr_norm_path: "./foxes_data/normalized_sxr.npy"
-  checkpoints_dir: "./foxes_data/chkpt/"  # update to actual checkpoint
+  checkpoints_dir: "./foxes_data/checkpoints/"
   num_workers: 8   # DataLoader worker processes; defaults to min(8, cpu_count()) if omitted
 
 wandb:
-  entity: "ggoodwin5-georgia-state-university"  # your W&B username or team name
+  entity: ""  # your W&B username or team name
   project: FOXES
   job_type: training
   tags: