LogoLogo
Have questions?📞 Speak with a specialist.📅 Book a demo now.
  • Welcome
  • INTRODUCTION
    • What Is Aizen?
    • Aizen Platform Interfaces
    • Typical ML Workflow
    • Datasets and Features
    • Resources and GPUs
    • LLM Operations
    • Glossary
  • INSTALLATION
    • Setting Up Your Environment
      • Hardware Requirements
      • Deploying Kubernetes On Prem
      • Deploying Kubernetes on AWS
      • Deploying Kubernetes on GCP
        • GCP and S3 API Interoperability
        • Provisioning the Cloud Service Mesh
        • Installing Ingress Gateways with Istio
      • Deploying Kubernetes on Azure
        • Setting Up Azure Blob Storage
    • Installing Aizen
      • Software Requirements
      • Installing the Infrastructure Components
      • Installing the Core Components
      • Virtual Services and Gateways Command Script (GCP)
      • Helpful Deployment Commands
    • Installing Aizen Remote Components
      • Static Remote Deployment
      • Dynamic Remote Deployment
    • Installing Optional Components
      • MinIO
      • OpenLDAP
      • OpenEBS Operator
      • NGINX Ingress Controller
      • Airbyte
  • GETTING STARTED
    • Managing Users and Roles
      • Aizen Security
      • Adding Users
      • Updating Users
      • Listing Users and Roles
      • Granting or Revoking Roles
      • Deleting Users
    • Accessing the Aizen Platform
    • Using the Aizen Jupyter Console
  • MANAGING ML WORKFLOWS
    • ML Workflow
    • Configuring Data Sources
    • Configuring Data Sinks
    • Creating Training Datasets
    • Performing ML Data Analysis
    • Training an ML Model
    • Adding Real-Time Data Sources
    • Serving an ML Model
    • Training and Serving Custom ML Models
  • MANAGING LLM WORKFLOWS
    • LLM Workflow
    • Configuring Data Sources
    • Creating Training Datasets for LLMs
    • Fine-Tuning an LLM
    • Serving an LLM
    • Adding Cloud Providers
    • Configuring Vector Stores
    • Running AI Agents
  • Notebook Commands Reference
    • Notebook Commands
  • SYSTEM CONFIGURATION COMMANDS
    • License Commands
      • check license
      • install license
    • Authorization Commands
      • add users
      • alter users
      • list users
      • grant role
      • list roles
      • revoke role
      • delete users
    • Cloud Provider Commands
      • add cloudprovider
      • list cloudproviders
      • list filesystems
      • list instancetypes
      • status instance
      • list instance
      • list instances
      • delete cloudprovider
    • Project Commands
      • create project
      • alter project
      • exportconfig project
      • importconfig project
      • list projects
      • show project
      • set project
      • listconfig all
      • status all
      • stop all
      • delete project
      • shutdown aizen
    • File Commands
      • install credentials
      • list credentials
      • delete credentials
      • install preprocessor
  • MODEL BUILDING COMMANDS
    • Data Source Commands
      • configure datasource
      • describe datasource
      • listconfig datasources
      • delete datasource
    • Data Sink Commands
      • configure datasink
      • describe datasink
      • listconfig datasinks
      • alter datasink
      • start datasink
      • status datasink
      • stop datasink
      • list datasinks
      • display datasink
      • delete datasink
    • Dataset Commands
      • configure dataset
      • describe dataset
      • listconfig datasets
      • exportconfig dataset
      • importconfig dataset
      • start dataset
      • status dataset
      • stop dataset
      • list datasets
      • display dataset
      • export dataset
      • import dataset
      • delete dataset
    • Data Analysis Commands
      • loader
      • show stats
      • show datatypes
      • show data
      • show unique
      • count rows
      • count missingvalues
      • plot
      • run analysis
      • run pca
      • filter dataframe
      • list dataframes
      • set dataframe
      • save dataframe
    • Training Commands
      • configure training
      • describe training
      • listconfig trainings
      • start training
      • status training
      • list trainings
      • list tensorboard
      • start tensorboard
      • stop tensorboard
      • stop training
      • restart training
      • delete training
      • list mlflow
      • save embedding
      • list trained-models
      • list trained-model
      • export trained-model
      • import trained-model
      • delete trained-model
      • register model
      • update model
      • list registered-models
      • list registered-model
  • MODEL SERVING COMMANDS
    • Resource Commands
      • configure resource
      • describe resource
      • listconfig resources
      • alter resource
      • delete resource
    • Prediction Commands
      • configure prediction
      • describe prediction
      • listconfig predictions
      • start prediction
      • status prediction
      • test prediction
      • list predictions
      • stop prediction
      • list prediction-logs
      • display prediction-log
      • delete prediction
    • Data Report Commands
      • configure datareport
      • describe datareport
      • listconfig datareports
      • start datareport
      • list data-quality
      • list data-drift
      • list target-drift
      • status data-quality
      • display data-quality
      • status data-drift
      • display data-drift
      • status target-drift
      • display target-drift
      • delete datareport
    • Runtime Commands
      • configure runtime
      • describe runtime
      • listconfig runtimes
      • start runtime
      • status runtime
      • stop runtime
      • delete runtime
  • LLM AND EMBEDDINGS COMMANDS
    • LLM Commands
      • configure llm
      • listconfig llms
      • describe llm
      • start llm
      • status llm
      • stop llm
      • delete llm
    • Vector Store Commands
      • configure vectorstore
      • describe vectorstore
      • listconfig vectorstores
      • start vectorstore
      • status vectorstore
      • stop vectorstore
      • delete vectorstore
    • LLM Application Commands
      • configure llmapp
      • describe llmapp
      • listconfig llmapps
      • start llmapp
      • status llmapp
      • stop llmapp
      • delete llmapp
  • TROUBLESHOOTING
    • Installation Issues
Powered by GitBook

© 2025 Aizen Corporation

On this page
  • System Configuration Commands
  • Model Building Commands
  • Model Serving Commands
  • LLM and Embeddings Commands
  1. Notebook Commands Reference

Notebook Commands

PreviousRunning AI AgentsNextLicense Commands

Last updated 3 months ago

System Configuration Commands

Model Building Commands

Model Serving Commands

LLM and Embeddings Commands

License Commands

Install and check the validity of an Aizen license.

Authorization Commands

Register users and their system-level roles in Aizen and grant privileges to users for a project.

Cloud Provider Commands

Register or remove a cloud provider in the Aizen database or check the status of the registered cloud provider.

Project Commands

Create, delete, or set a working project.

File Commands

Install credentials and preprocessor files for a project.

Data Source Commands

Configure and connect data sources to the Aizen platform.

Data Sink Commands

Configure data sinks and connect them to data sources.

Dataset Commands

Create training datasets. List available datasets and display rows from training datasets.

Data Analysis Commands

Load, visualize, and analyze data loaded from data sources, data sinks, or datasets.

Training Commands

Start, stop, and check the status of ML model training jobs. List the training results for a training run and register trained ML models for deployment.

Resource Commands

Configure resources to run ML jobs.

Prediction Commands

Start, stop, and check the status of ML model serving jobs.

Data Report Commands

Create and view data-quality, data-drift, and target-drift reports.

Runtime Commands

Start, stop, and check the status of runtime jobs.

LLM Commands

Start, stop, and check the status of large language model (LLM) serving jobs or embeddings model serving jobs.

Vector Store Commands

Start, stop, and check the status of vector store jobs.

LLM Application Commands

Start, stop, and check the status of LLM application serving jobs, such as AI agents.