fix: Resolve ColSpec TypeError by updating dependencies in conda.yml

- Updated `conda.yml` for the `test_regression_model` component to address compatibility issues:
  - Set `python` to version 3.10.0 for consistency.
  - Upgraded `scikit-learn` to 1.5.2 to match the version used during model saving.
  - Adjusted `pip` to 23.3.1 and `requests` to 2.24.0 for dependency compatibility.
  - Included `pandas` version 2.1.3 to align with other components.
  - Updated `mlflow` to 2.18.0 for improved support.
- Ensured all required dependencies are explicitly listed for compatibility with the `wandb-utils` component.
- This fixes the `TypeError: ColSpec.__init__() got an unexpected keyword argument 'required'` error encountered during model loading.

components/conda.yml

@@ -1,6 +1,14 @@
-name: components
+name: test_regression_model
 channels:
   - conda-forge
   - defaults
 dependencies:
-  - mlflow=2.8.1
+  - python=3.10.0
+  - pip=23.3.1
+  - requests=2.24.0
+  - scikit-learn=1.5.2
+  - pandas=2.1.3
+  - pip:
+      - mlflow==2.18.0
+      - wandb==0.16.0
+      - git+https://github.com/udacity/Project-Build-an-ML-Pipeline-Starter.git#egg=wandb-utils&subdirectory=components