Interface | Description |
---|---|
BaseReadWrite |
Trait for
MLWriter and MLReader . |
DefaultParamsReadable<T> |
Helper trait for making simple
Params types readable. |
DefaultParamsWritable |
Helper trait for making simple
Params types writable. |
GeneralMLWritable |
Trait for classes that provide
GeneralMLWriter . |
HasTrainingSummary<T> |
Trait for models that provides Training summary.
|
Identifiable |
Trait for an object with an immutable unique ID that identifies itself and its derivatives.
|
MLFormatRegister |
ML export formats for should implement this trait so that users can specify a shortname rather
than the fully qualified class name of the exporter.
|
MLReadable<T> |
Trait for objects that provide
MLReader . |
MLWritable |
Trait for classes that provide
MLWriter . |
MLWriterFormat |
Abstract class to be implemented by objects that provide ML exportability.
|
Class | Description |
---|---|
DatasetUtils | |
GeneralMLWriter |
A ML Writer which delegates based on the requested format.
|
MetaAlgorithmReadWrite |
Default Meta-Algorithm read and write implementation.
|
MetadataUtils |
Helper utilities for algorithms using ML metadata
|
MLReader<T> |
Abstract class for utility classes that can load ML instances.
|
MLWriter |
Abstract class for utility classes that can save ML instances in Spark's internal format.
|
SchemaUtils |
Utils for handling schemas.
|