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 spark
    Definition Classes
    sql
  • package execution
    Definition Classes
    spark
  • package expressions
    Definition Classes
    spark
  • package functions
    Definition Classes
    spark
  • Python
  • RikaiSparkSessionExtensions
  • SparkRunnable

object Python

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  1. final def !=(arg0: Any): Boolean
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: AnyRef): Boolean
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  8. def execute(code: String, session: SparkSession): Unit
  9. def execute(code: String): Unit

    Executor arbitrary python code

  10. def finalize(): Unit
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  11. final def getClass(): Class[_ <: AnyRef]
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  16. final def notifyAll(): Unit
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  17. lazy val pythonExec: String

    Python executor

  18. lazy val pythonVer: String
  19. def run(command: Seq[String]): Unit
  20. final def synchronized[T0](arg0: => T0): T0
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  21. def toString(): String
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  22. final def wait(): Unit
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  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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