Implementation:SeldonIO Seldon core Seldon Model Load For Monitoring

Property	Value
Implementation Name	Seldon Model Load For Monitoring
Type	External Tool Doc
Overview	Concrete CLI tool for deploying monitoring pipeline component models in Seldon Core 2
Domains	MLOps, Kubernetes
Implements Principle	SeldonIO_Seldon_core_Monitoring_Component_Deployment
Source	samples/models/income.yaml:L1-8, samples/models/income-preprocess.yaml:L1-8, samples/models/income-drift.yaml:L1-9, samples/models/income-outlier.yaml:L1-9
External Dependencies	seldon CLI, kubectl, MLServer, alibi-detect runtime
Knowledge Sources	Repo (https://github.com/SeldonIO/seldon-core)
Last Updated	2026-02-13 00:00 GMT

Code Reference

Classifier Model (income.yaml)

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: income
spec:
  storageUri: "gs://seldon-models/scv2/samples/mlserver_1.6.0/income-sklearn/classifier"
  requirements:
  - sklearn

Preprocessor Model (income-preprocess.yaml)

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: income-preprocess
spec:
  storageUri: "gs://seldon-models/scv2/samples/mlserver_1.6.0/income-sklearn/preprocessor"
  requirements:
  - sklearn

Drift Detector Model (income-drift.yaml)

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: income-drift
spec:
  storageUri: "gs://seldon-models/scv2/samples/mlserver_1.6.0/income-sklearn/drift-detector"
  requirements:
  - mlserver
  - alibi-detect

Outlier Detector Model (income-outlier.yaml)

apiVersion: mlops.seldon.io/v1alpha1
kind: Model
metadata:
  name: income-outlier
spec:
  storageUri: "gs://seldon-models/scv2/samples/mlserver_1.6.0/income-sklearn/outlier-detector"
  requirements:
  - mlserver
  - alibi-detect

Key Parameters

Parameter	Description	Values
apiVersion	Seldon Core 2 API version	mlops.seldon.io/v1alpha1
kind	Resource type	Model
metadata.name	Unique model identifier	income, income-preprocess, income-drift, income-outlier
spec.storageUri	Cloud storage path to model artifacts	gs://seldon-models/scv2/samples/...
spec.requirements	MLServer runtime requirements	sklearn (classifier/preprocessor), mlserver + alibi-detect (detectors)

I/O Contract

Inputs

Input	Type	Description
income.yaml	Model CRD YAML	Classifier model definition
income-preprocess.yaml	Model CRD YAML	Preprocessor model definition
income-drift.yaml	Model CRD YAML	Drift detector model definition
income-outlier.yaml	Model CRD YAML	Outlier detector model definition

Outputs

Output	Type	Description
income	Loaded Model	Classifier ready for inference (sklearn runtime)
income-preprocess	Loaded Model	Preprocessor ready for feature transformation (sklearn runtime)
income-drift	Loaded Model	Drift detector ready for batch drift testing (alibi-detect runtime)
income-outlier	Loaded Model	Outlier detector ready for per-request anomaly detection (alibi-detect runtime)

Usage Examples

Loading All Four Monitoring Components

# Load all four models
seldon model load -f samples/models/income.yaml
seldon model load -f samples/models/income-preprocess.yaml
seldon model load -f samples/models/income-drift.yaml
seldon model load -f samples/models/income-outlier.yaml

Waiting for All Models to Be Ready

# Wait for each model to reach ModelAvailable state
seldon model status income -w ModelAvailable
seldon model status income-preprocess -w ModelAvailable
seldon model status income-drift -w ModelAvailable
seldon model status income-outlier -w ModelAvailable

Verifying Runtime Assignments

Model	Runtime	Description
income	sklearn	RandomForestClassifier via joblib
income-preprocess	sklearn	ColumnTransformer via joblib
income-drift	alibi-detect	TabularDrift detector
income-outlier	alibi-detect	OutlierVAE detector

Related Pages

• SeldonIO_Seldon_core_Monitoring_Component_Deployment (principle) - Principles of deploying monitoring components as independent services
• SeldonIO_Seldon_core_Alibi_Detect_Training (prerequisite) - Training code that produces the detector artifacts
• SeldonIO_Seldon_core_Seldon_Pipeline_CRD_Monitoring (next step) - Composing loaded models into a monitoring pipeline
• SeldonIO_Seldon_core_Seldon_Model_Load (related) - General model loading tool documentation
• SeldonIO_Seldon_core_Seldon_Model_CRD (related) - General Model CRD structure