cursus.steps.scripts¶

Pipeline scripts module.

This module contains the actual processing scripts used by pipeline steps. Scripts are designed to be standalone and executed independently without dependencies on contract validation utilities.

Modules

`active_sample_selection`	Active Sample Selection Script for Semi-Supervised and Active Learning.
`bedrock_prompt_template_generation`	Bedrock Prompt Template Generation Script — declarative meta-prompt assembler.
`bspline_calibration`	Monotone B-Spline Calibration Script for SageMaker Processing.
`currency_conversion`	Currency Conversion Processing Script
`dummy_data_loading`	Dummy Data Loading Processing Script
`dummy_training`	DummyTraining Processing Script
`feature_selection`	Feature Selection Script
`graph_feature_processing`	GraphFeatureProcessing step script (Nexus `feature_processing` → Cursus).
`graphstorm_gnn_inference_eval`	GraphStormGNNInferenceEval step entry point (Nexus `run_evaluation.py`).
`graphstorm_gnn_training`	GraphStormGNNTraining step entry point (Nexus `train.py`).
`label_ruleset_execution`	Label Ruleset Execution Script
`label_ruleset_generation`	Ruleset Generation Script
`missing_value_imputation`	Missing Value Imputation Processing Script
`model_calibration`	Model Calibration Script for SageMaker Processing.
`model_metrics_computation`
`model_wiki_generator`
`package`
`payload`	MIMS Payload Generation Processing Script
`percentile_model_calibration`	Percentile Model Calibration Script for SageMaker Processing.
`piper_metric_generation`
`pseudo_label_merge`	Pseudo Label Merge Script
`risk_table_mapping`	Risk Table Mapping Processing Script
`run_gconstruct`	GraphConstruction step script (Nexus `run_gconstruct.sh` → Cursus).
`slipbox_knowledge_routing`	Slipbox Knowledge Routing — Cursus ProcessingStep script (PROPOSAL scaffold).
`stratified_sampling`	Stratified Sampling Script
`tabular_lookup_model_building`	TabularLookupModelBuilding Processing Script.
`tabular_preprocessing`
`temporal_feature_engineering`	Temporal Feature Engineering Script
`temporal_sequence_normalization`	Temporal Sequence Normalization Script
`temporal_split_preprocessing`	Temporal Split Preprocessing Script
`xgboost_model_eval`
`xgboost_model_inference`