Pipeline · Intermediate · 30 min
Running the Full Pipeline
PipelineAutomation
Chain every stage into one reproducible workflow and stop exporting files between steps.
Steps
Follow along
Each step is something you can do in the platform right now.
01
Step 1
Open the Full Pipeline page.
02
Step 2
Start with a Dataset node and add a Data Synthesis node connected to it.
03
Step 3
Add Evaluation after Data Synthesis — connect the synthetic output as its input.
04
Step 4
Add Prediction, then Optimization as the final consumer.
05
Step 5
Optionally insert a TEA node after optimization to price the results.
06
Step 6
Configure each node, run the pipeline, and monitor it from the Runs page.
Notes
Pro tips
What experienced users wish they knew the first time.
Each stage's output flows automatically into the next — no manual export/import.
Pipeline runs are recorded like any job: revisit, rerun and share them.
Want the details? This tutorial pairs with the docs page stages · pipeline.
Read the docs →