Packages

•  package root

  Definition Classes

  root

•  package ai

  Definition Classes

  root

•  package eto

  Definition Classes

  ai

•  package rikai

  Definition Classes

  eto

•  package sql

  Rikai SQL-ML extension.

  Rikai SQL-ML extension.

  Rikai offers DDL to manipulate ML Models:

  CREATE MODEL model_name
  [ OPTIONS (key=value, key=value, ...) ]
  [ AS "model_registry_uri" ]
  
  # List all registered models.
  SHOW MODELS
  
  # Describe the details of a model.
  (DESC | DESCRIBE) MODEL model_name
  
  # Drop a Model
  DROP MODEL model_name

  A ML_PREDICT function is implemented to run model inference.

  SELECT id, ML_PREDICT(model_name, col1, col2, col3) as predicted FROM table

  Definition Classes

  rikai

•  package model

  Definition Classes

  sql

•  package dummy
•  package fs

  FileSystem-based on Models.

  FileSystem-based on Models.

  It supports the following URIs.

  • ../relative/path/to/model
  • /absolute/path/to/model
  • file:///absolute/path/to/model
  • s3://bucket/path/to/model
  • gs://bucket/path/to/model
  • https://example.com/path/to/model
•  package mlflow

  MLflow-based Models.

  MLflow-based Models.

  It supports the following URIs.

  • mlflow://<runid>
  • mlflow://<model> (latest version without a stage designation)
  • mlflow://<model>/<stage> (latest version for given stage)
  • mlflow://<model>/<version> (get the particular version of the registered model)
•  package testing
•  package tfhub

  TFHub-based Models.

•  package torchhub

  TorchHub-based Models.

  TorchHub-based Models.

  It supports the following URIs.

  • torchhub:///<organization>/<project>/<model>
• Catalog
• Model
• ModelAlreadyExistException
• ModelNameException
• ModelNotFoundException
• ModelRegistryAlreadyExistException
• ModelResolveException
• ModelSpec
• PyImplRegistry
• Registry
• SimpleCatalog
• SparkUDFModel
•  package spark

  Definition Classes

  sql

ai.eto.rikai.sql

model 