more lib doc fixes, especially broken links.

Signed-off-by: David Wood <[email protected]>

data-processing-lib/doc/overview.md

@@ -22,6 +22,7 @@ To learn more consider the following:
 * [Transform Runtimes](transform-runtimes.md)
 * [Transform Examples](transform-tutorial-examples.md)
 * [Testing Transforms](transform-testing.md)
+* [Utilities](transformer-utilities.md)
 * [Architecture Deep Dive](architecture.md)
 * [Transform project root readme](../../transforms/README.md)
 

data-processing-lib/doc/python-runtime.md

@@ -7,4 +7,6 @@ A `PythonTransformLauncher` class is provided that enables the running of the tr
 ```python
 launcher = PythonTransformLauncher(YourTransformConfiguration())
 launcher.launch()
-```
+```
+The `YourTransformConfiguration` class configures your transform.
+More details can be found in the [transform tutorial](transform-tutorials.md).

data-processing-lib/doc/ray-runtime.md

@@ -57,10 +57,10 @@ and class. In addition, it is responsible for providing transform-specific
 methods to define and capture optional command line arguments.
 ```python
 
-class MyTransformConfiguration(TransformConfiguration):
+class YourTransformConfiguration(TransformConfiguration):
 
     def __init__(self):
-        super().__init__(name="MyTransform", transform_class=MyTransform)
+        super().__init__(name="YourTransform", transform_class=YourTransform)
         self.params = {}
 
     def add_input_params(self, parser: ArgumentParser) -> None:
@@ -69,16 +69,17 @@ class MyTransformConfiguration(TransformConfiguration):
         ...
 ```
 Next we define the Ray-runtime specific transform configuration as an exension of
-the RayTransformConfiguration and uses the `MyTransformConfiguration` above.
+the RayTransformConfiguration and uses the `YourTransformConfiguration` above.
 ```python
 
-class MyTransformConfiguration(RayTransformConfiguration):
+class YourTransformConfiguration(RayTransformConfiguration):
     def __init__(self):
-        super().__init__(MyTransformConfiguration(),
-                         runtime_class=MyTransformRuntime
+        super().__init__(YourTransformConfiguration(),
+                         runtime_class=YourTransformRuntime
 ```
-This class provides the ability to create the instance of `MyTransformRuntime` class
-as neede by the Ray runtime.
+This class provides the ability to create the instance of `YourTransformRuntime` class (see below)
+as needed by the Ray runtime.  Note, that not all transforms will require a `runtime_class`
+and can omit this parameter to default to an acceptable runtime class.
 Details are covered in the [advanced transform tutorial](advanced-transform-tutorial.md).
 
 ## Transform Runtime

data-processing-lib/doc/transform-testing.md

@@ -1,6 +1,6 @@
 # Transform Testing
 Once a transform has been built, testing can be enabled with the provided testing framework:
 
-* [Standalone Transform Testing](transform-standalone-testing) - shows how to test a transform independent of the runtime.
+* [Standalone Transform Testing](transform-standalone-testing.md) - shows how to test a transform independent of the runtime.
 * [End-to-End Testing](testing-e2e-transform.md) - shows how to test the transform running in a runtime.
-* [Testing Transforms with S3](transform-s3-testing) -shows how to set up `minio` to test transforms with the S3 interfaces.
+* [Testing Transforms with S3](transform-s3-testing.md) -shows how to set up `minio` to test transforms with the S3 interfaces.

data-processing-lib/doc/transform-tutorial-examples.md

@@ -13,6 +13,3 @@ resources (models, configuration, etc) for a transform.
 
 
 
-## Additional transform support
-
-We also started a library of [transform utilities](transformer-utilities.md)