temp cmt

GestaltCogTeam · Sep 3, 2024 · 56d8243 · 56d8243
1 parent e842788
commit 56d8243
Show file tree

Hide file tree

Showing 2 changed files with 13 additions and 13 deletions.
diff --git a/tutorial/config_design.md b/tutorial/config_design.md
@@ -12,18 +12,18 @@ The configuration file typically includes the following sections:
 - **Scaler Options**: Specifies `NAME`, `TYPE` (Scaler Class), `PARAMS` (Scaler Parameters), etc.
 - **Model Options**: Specifies `NAME`, `TYPE` (Model Class), `PARAMS` (Model Parameters), etc.
 - **Metrics Options**: Includes `FUNCS` (Metric Functions), `TARGET` (Target Metrics), `NULL_VALUE` (Handling of Missing Values), etc.
-- **TRAIN Options**:
-    - **GENERAL**: Specifies settings like `EPOCHS`, `LOSS`, `EARLY_STOPPING`, etc.
-    - **OPTIMIZER**: Specifies `TYPE` (Optimizer Class), `PARAMS` (Optimizer Parameters), etc.
-    - **SCHEDULER**: Specifies `TYPE` (Scheduler Class), `PARAMS` (Scheduler Parameters), etc.
-    - **CURRICULUM_LEARNING**: Includes settings like `CL_EPOHS`, `WARMUP_EPOCHS`, `STEP_SIZE`, etc.
-    - **DATA**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
-- **VALID Options**:
-    - **GENERAL**: Includes `INTERVAL` for validation frequency.
-    - **DATA**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
-- **TEST Options**:
-    - **GENERAL**: Includes `INTERVAL` for testing frequency.
-    - **DATA**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
+- **Train Options**:
+    - **General**: Specifies settings like `EPOCHS`, `LOSS`, `EARLY_STOPPING`, etc.
+    - **Optimizer**: Specifies `TYPE` (Optimizer Class), `PARAMS` (Optimizer Parameters), etc.
+    - **Schduler**: Specifies `TYPE` (Scheduler Class), `PARAMS` (Scheduler Parameters), etc.
+    - **Curriculum Learning**: Includes settings like `CL_EPOHS`, `WARMUP_EPOCHS`, `STEP_SIZE`, etc.
+    - **Data**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
+- **Valid Options**:
+    - **General**: Includes `INTERVAL` for validation frequency.
+    - **Data**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
+- **Test Options**:
+    - **General**: Includes `INTERVAL` for testing frequency.
+    - **Data**: Specifies settings like `BATCH_SIZE`, `NUM_WORKERS`, `PIN_MEMORY`, etc.
 
 For a complete guide on all configuration options and examples, refer to [examples/complete_config.py](../examples/complete_config.py).
 

diff --git a/tutorial/dataset_design.md b/tutorial/dataset_design.md
@@ -41,7 +41,7 @@ Each dataset contains at least two essential files: `data.dat` and `desc.json`:
 ## 🧑‍💻 Dataset Class Design
 
 <div align="center">
-  <img src="figures/DatasetDesign.jpeg" height=250>
+  <img src="figures/DatasetDesign.jpeg" height=350>
 </div>
 
 In time series forecasting, datasets are typically generated from raw time series data using a sliding window approach. As illustrated above, the raw time series is split into training, validation, and test sets along the time dimension, and samples are generated using a sliding window of size `inputs + targets`. Most datasets adhere to this structure.