Package | Description |
---|---|
org.apache.sysml.api | |
org.apache.sysml.api.mlcontext |
Class and Description |
---|
ScriptExecutor
ScriptExecutor executes a DML or PYDML Script object using SystemML.
|
ScriptType
ScriptType represents the type of script, DML (R-like syntax) or PYDML
(Python-like syntax).
|
Class and Description |
---|
Frame
Frame encapsulates a SystemML frame.
|
FrameFormat
FrameFormat represents the different frame formats supported by the MLContext
API.
|
FrameMetadata
Frame metadata, such as the number of rows, the number of columns, the number
of non-zero values, the number of rows per block, and the number of columns
per block in the frame.
|
FrameSchema
The frame schema, stored as a list of
ValueType values. |
Matrix
Matrix encapsulates a SystemML matrix.
|
MatrixFormat
MatrixFormat represents the different matrix formats supported by the
MLContext API.
|
MatrixMetadata
Matrix metadata, such as the number of rows, the number of columns, the
number of non-zero values, the number of rows per block, and the number of
columns per block in the matrix.
|
Metadata
Abstract metadata class for MLContext API.
|
MLContext
The MLContext API offers programmatic access to SystemML on Spark from
languages such as Scala, Java, and Python.
|
MLContext.ExecutionType
The different types of execution environments supported by SystemML.
|
MLContext.ExplainLevel
The different explain levels supported by SystemML.
|
MLContext.InternalProxy
Used internally by MLContextProxy.
|
MLResults
MLResults handles the results returned from executing a Script using the
MLContext API.
|
ProjectInfo
Obtains information that is stored in the manifest when the SystemML jar is
built.
|
Script
A Script object encapsulates a DML or PYDML script.
|
ScriptExecutor
ScriptExecutor executes a DML or PYDML Script object using SystemML.
|
ScriptType
ScriptType represents the type of script, DML (R-like syntax) or PYDML
(Python-like syntax).
|
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