We will kickstart this section by listing the following implementation objectives:
- Implementation objective 1: Depicting what we believe are fundamental pipeline building blocks, rough workflow stages in the actual pipeline, and where each block is visualized as being connected to the next, implying flow of data and the transformation of data. A state of connection implies a set of workflow stages placed in a sequence.
- Implementation objective 2: Core building blocks of the pipeline.
- Implementation objective 3: Spark ML Workflow for the breast cancer classification task.
- Implementation objective 4: Developing two pipeline stages and assigning an indexer and logit model to each of these stages.
- Implementation objective ...