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Python API
Giacomo Saccaggi edited this page Jun 19, 2026
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1 revision
| Class | Module | Purpose |
|---|---|---|
ScompLinkPipeline |
scomp_link.core |
End-to-end pipeline orchestrator |
Preprocessor |
scomp_link.preprocessing |
Data cleaning (polars backend) |
FeatureEngineer |
scomp_link.preprocessing |
Automated feature engineering |
DataQualityReport |
scomp_link.preprocessing |
Data profiling + HTML report |
ModelFactory |
scomp_link.models |
Decision-tree model selection |
RegressorOptimizer |
scomp_link.models |
Grid search regression optimizer |
ClassifierOptimizer |
scomp_link.models |
Grid search classification optimizer |
EnsembleOptimizer |
scomp_link.models |
Voting/stacking ensembles |
OptunaOptimizer |
scomp_link.models |
Bayesian hyperparameter optimization |
HalvingSearchOptimizer |
scomp_link.models |
Successive halving grid search |
EarlyStoppingCV |
scomp_link.models |
Patience-based iteration search |
TimeSeriesForecaster |
scomp_link.models |
ARIMA/SARIMA/ETS forecasting |
AnomalyDetector |
scomp_link.models |
Multi-method anomaly detection |
TimeSeriesAnomalyDetector |
scomp_link.models |
Time series anomaly detection |
Validator |
scomp_link.validation |
Metrics + HTML report |
AdvancedCV |
scomp_link.validation |
LOOCV, Bootstrap |
FairnessMetrics |
scomp_link.validation |
Bias and fairness evaluation |
ShapExplainer |
scomp_link.explainability |
SHAP explanations |
LimeExplainer |
scomp_link.explainability |
LIME explanations |
DriftDetector |
scomp_link.monitoring |
PSI + KS drift detection |
ScompArtifact |
scomp_link.persistence |
Pipeline serialization (.scomp) |
# All main classes are importable from the top level
from scomp_link import (
ScompLinkPipeline,
Preprocessor,
FeatureEngineer,
DataQualityReport,
ModelFactory,
Validator,
RegressorOptimizer,
ClassifierOptimizer,
AnomalyDetector,
TimeSeriesAnomalyDetector,
TimeSeriesForecaster,
FairnessMetrics,
ShapExplainer,
LimeExplainer,
DriftDetector,
ScompArtifact,
set_verbosity,
)
# Advanced tuning (not top-level)
from scomp_link.models.advanced_tuning import OptunaOptimizer, HalvingSearchOptimizer, EarlyStoppingCVimport scomp_link
scomp_link.set_verbosity("silent") # no output at all
scomp_link.set_verbosity("warning") # only warnings
scomp_link.set_verbosity("info") # default (progress messages)
scomp_link.set_verbosity("debug") # verbose debuggingExternal code can also access the logger directly:
import logging
logging.getLogger("scomp_link").setLevel(logging.WARNING)