| Interface | Description |
|---|---|
| BaseReadWrite |
Trait for
MLWriter and MLReader. |
| DefaultParamsReadable<T> |
:: DeveloperApi ::
|
| DefaultParamsWritable |
:: DeveloperApi ::
|
| GeneralMLWritable |
Trait for classes that provide
GeneralMLWriter. |
| HasTrainingSummary<T> |
Trait for models that provides Training summary.
|
| Identifiable |
:: DeveloperApi ::
|
| 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.
|