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latest
latestv2.9v2.8
  • About
    • Production-ready ML Serving Framework
    • Seldon Core Features
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    • Architecture
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    • Installation Overview
    • Learning Environment
      • Self-hosted Kafka
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      • Seldon Config
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    • Upgrading
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        • Example: Serving models on dedicated GPU nodes
    • Models
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      • Storage Secrets
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      • Model Autoscaling
      • Server Autoscaling
      • HPA Autoscaling in single-model serving
    • Data Science Monitoring
      • Dataflow with Kafka
      • Model Performance Metrics
      • Drift Detection
      • Outlier Detection
      • Explainability
    • Operational Monitoring
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      • Pipeline to pipeline examples
      • Explainer examples
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      • Experiment version examples
      • Inference examples
      • Tritonclient examples
      • Batch Inference examples (kubernetes)
      • Batch Inference examples (local)
      • Checking Pipeline readiness
      • Multi-Namespace Kubernetes
      • Huggingface speech to sentiment with explanations pipeline
      • Production image classifier with drift and outlier monitoring
      • Production income classifier with drift, outlier and explanations
      • Conditional pipeline with pandas query model
      • Kubernetes Server with PVC
  • Integrations
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  • Resources
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          • Server List
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      • License
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    • Release Notes
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  1. Resources
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  3. Seldon CLI

Seldon

PreviousCLINextConfig

Last updated 6 months ago

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SEE ALSO

  • - manage configs

  • - manage experiments

  • - manage models

  • - manage pipelines

  • - manage servers

seldon config
seldon experiment
seldon model
seldon pipeline
seldon server