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

class MlflowCatalog extends Catalog

Use MLflow as a persisted backend for Model Catalog

Linear Supertypes
Catalog, AnyRef, Any
Ordering
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Inherited
  1. MlflowCatalog
  2. Catalog
  3. AnyRef
  4. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new MlflowCatalog(session: SparkSession)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. def createModel(model: Model): Model

    Create a ML Model that can be used in SQL ML in the current database.

    Create a ML Model that can be used in SQL ML in the current database.

    Definition Classes
    MlflowCatalog → Catalog
  7. def dropModel(name: String): Boolean

    Drops a model with a specific name

    Drops a model with a specific name

    name

    the model name

    returns

    true of the model is dropped successfully. False otherwise.

    Definition Classes
    MlflowCatalog → Catalog
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  12. def getModel(name: String, session: SparkSession): Option[Model]

    Get the model with a specific name.

    Get the model with a specific name.

    name

    is a qualified name pointed to a Model.

    returns

    the model

    Definition Classes
    MlflowCatalog → Catalog
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def listModels(): Seq[Model]

    Return a list of models available for all Sessions

    Return a list of models available for all Sessions

    Definition Classes
    MlflowCatalog → Catalog
  16. def modelExists(name: String): Boolean

    Check a model with the specified name exists.

    Check a model with the specified name exists.

    name

    is the name of the model.

    Definition Classes
    MlflowCatalog → Catalog
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Catalog

Inherited from AnyRef

Inherited from Any

Ungrouped