Merge pull request #19 from zenml-io/2024.06.06

Fix broken links

Author: strickvl

template/steps/data_loader.py

@@ -22,7 +22,7 @@ def data_loader(
     In this example, the step can be configured with number of rows and logic
     to drop target column or not. See the documentation for more information:
 
-        https://docs.zenml.io/user-guide/advanced-guide/configure-steps-pipelines
+        https://docs.zenml.io/how-to/build-pipelines/use-pipeline-step-parameters
 
     Args:
         random_state: Random state for sampling

template/steps/data_preprocessor.py

@@ -38,7 +38,7 @@ def data_preprocessor(
     columns and normalize numerical columns. See the documentation for more
     information:
 
-        https://docs.zenml.io/user-guide/advanced-guide/configure-steps-pipelines
+        https://docs.zenml.io/how-to/build-pipelines/use-pipeline-step-parameters
 
     Args:
         random_state: Random state for sampling.

template/steps/data_splitter.py

@@ -25,7 +25,7 @@ def data_splitter(
     In this example, the step can be configured to use different test
     set sizes. See the documentation for more information:
 
-        https://docs.zenml.io/user-guide/advanced-guide/configure-steps-pipelines
+        https://docs.zenml.io/how-to/build-pipelines/use-pipeline-step-parameters
 
     Args:
         dataset: Dataset read from source.

template/steps/inference_predict.py

@@ -40,7 +40,7 @@ def inference_predict(
     In this example, the step can be configured to use different input data.
     See the documentation for more information:
 
-        https://docs.zenml.io/user-guide/advanced-guide/configure-steps-pipelines
+        https://docs.zenml.io/how-to/build-pipelines/use-pipeline-step-parameters
 
     Args:
         model: Trained model.

template/steps/model_evaluator.py

@@ -41,7 +41,7 @@ def model_evaluator(
     does not meet the minimum criteria. See the documentation for more
     information:
 
-        https://docs.zenml.io/user-guide/advanced-guide/configure-steps-pipelines
+        https://docs.zenml.io/how-to/build-pipelines/use-pipeline-step-parameters
 
     Args:
         model: The pre-trained model artifact.