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 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)
    Definition Classes
    model
  • MlflowCatalog
  • MlflowClientExt
  • MlflowRegistry

object MlflowCatalog

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  1. final def !=(arg0: Any): Boolean
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  4. val ARTIFACT_PATH_KEY: String
  5. val MODEL_FLAVOR_KEY: String
  6. val OUTPUT_SCHEMA_KEY: String
  7. val POST_PROCESSING_KEY: String
  8. val PRE_PROCESSING_KEY: String
  9. val SPEC_VERSION_KEY: String
  10. val SQL_ML_CATALOG_IMPL_MLFLOW: String
  11. val TRACKING_URI_KEY: String
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