Merge branch 'main' into bugfix/line-length-fix

copier.yaml

@@ -49,17 +49,17 @@ auto_format:
 use_step_params:
     type: bool
     help: "Would you like to see step parameters being used in the generated \n   ZenML steps?"
-    default: false
+    default: true
     when: "{{ template == 'starter' }}"
 use_custom_artifacts:
     type: bool
     help: "Would you like to see custom artifact data types and materializers \n   being used in the generated ZenML steps and pipelines?"
-    default: false
+    default: true
     when: "{{ template == 'starter' }}"
 configurable_dataset:
     type: bool
     help: "Would you like to be able to select the dataset used in model training\n   at runtime through the CLI and as a data loader step parameter?"
-    default: false
+    default: true
     when: "{{ template == 'starter' and use_step_params }}"
 sklearn_dataset_name:
     type: str
@@ -77,7 +77,12 @@ configurable_model:
     help: "Would you like to be able to select the type of model used in model \n
     training at runtime through the CLI and as a model trainer step \n
     parameter?"
-    default: false
+    default: true
+    help: >-
+        Would you like to be able to select the type of model used in model
+        training at runtime through the CLI and as a model trainer step
+        parameter ?
+    default: true
     when: "{{ template == 'starter' and use_step_params }}"
 sklearn_model_name:
     type: str

starter/README.md

@@ -40,12 +40,12 @@ other ML framework.
 | Project Version | The version of your project | 0.1.0 |
 | Project License | The license under which your project will be released (one of `Apache Software License 2.0`, `MIT license`, `BSD license`, `ISC license`, `GNU General Public License v3` and `Not open source`) | Apache Software License 2.0 |
 | Auto-Format | Whether to automatically format and cleanup the generated code with [black](https://black.readthedocs.io/), [ruff](https://beta.ruff.rs/docs/) and [autoflake](https://github.com/PyCQA/autoflake) (yes/no). You also need to have these Python packages installed for this option to take effect. | no |
-| Use ZenML Step Params | Whether to showcase using parameters for the ZenML steps in the project (yes/no). If selected, all generated ZenML pipeline steps will be parameterized. | no |
-| Use ZenML Materializers | Whether to showcase using custom data types for the ZenML artifacts in the project (yes/no). If selected, the generated code will demonstrate the use of custom artifact data types and materializers in the generated steps and pipelines. | no |
+| Use ZenML Step Params | Whether to showcase using parameters for the ZenML steps in the project (yes/no). If selected, all generated ZenML pipeline steps will be parameterized. | yes |
+| Use ZenML Materializers | Whether to showcase using custom data types for the ZenML artifacts in the project (yes/no). If selected, the generated code will demonstrate the use of custom artifact data types and materializers in the generated steps and pipelines. | yes |
 | UCI Dataset | The name of the UCI provided scikit-learn dataset to use in the project (one of `Iris`, `Breast Cancer` and `Wine`) | Wine |
 | Scikit-learn Model | The name of the scikit-learn classifier model to use in the project (one of `Logistic Regression`, `SVC`, `Linear SVC`, `Random Forest`, `KNN`, `Gaussian NB`, `Perceptron`, `SGD Classifier` and `Decision Tree`) | Logistic Regression |
-| Runtime Configurable Dataset | Whether to make the dataset a configurable parameter of the data loader step and CLI (yes/no). Only has effect if the step parameters were also selected. | no |
-| Runtime Configurable Model | Whether to make the model a configurable parameter of the model trainer step and CLI (yes/no). Only has effect if the step parameters were also selected. | no |
+| Runtime Configurable Dataset | Whether to make the dataset a configurable parameter of the data loader step and CLI (yes/no). Only has effect if the step parameters were also selected. | yes |
+| Runtime Configurable Model | Whether to make the model a configurable parameter of the model trainer step and CLI (yes/no). Only has effect if the step parameters were also selected. | yes |
 
 ## 🚀 Generate a ZenML Project