This section introduces the Pipeline scripts for different types of tasks.
Train_task: script: pipeline-hetero-lr-normal.py
LR Compute Loss: script: pipeline-hetero-compute-loss.py
Cross Validation Task(with fold history data output of predict score): script: pipeline-hetero-lr-cv.py
One vs Rest(OVR) Task: script: pipeline-hetero-lr-ovr.py
LR with validation: script: pipeline-hetero-lr-with-validate.py
LR with Warm start task: script: pipeline-hetero-lr-warm-start.py
LR with Encrypted Reveal in Host task: script: pipeline-hetero-lr-encrypted-reveal-in-host.py
LR L1 penalty task: script: pipeline-hetero-lr-l1.py
OVR LR with Encrypted Reveal in Host task: script: pipeline-hetero-lr-ovr-encrypted-reveal-in-host.py
LR OVR None-penalty task: script: pipeline-hetero-lr-ovr-none-penalty.py
LR OVR L1 penalty task: script: pipeline-hetero-lr-ovr-l1.py
LR with Large Init Weight: script: pipeline-hetero-lr-large-init-w-compute-loss.py
LR without intercept: script: pipeline-hetero-lr-not-fit-intercept.py
LR Compute Loss without reveal: script: pipeline-hetero-lr-compute-loss-not-reveal.py
LR with Sample Weight: script: pipeline-hetero-lr-sample-weight.py
Users can run a pipeline job directly:
python ${pipeline_script}