Package | Description |
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oracle.pgx.api.mllib |
This package contains graph machine learning tools for use with PGX.
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oracle.pgx.config.mllib.inputconfig |
Modifier and Type | Class and Description |
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class |
CategoricalPropertyConfigBuilder<Config extends CategoricalPropertyConfig,Self extends CategoricalPropertyConfigBuilder>
Builder for
CategoricalPropertyConfig . |
Modifier and Type | Method and Description |
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CategoricalPropertyConfig |
CategoricalPropertyConfigBuilder.build()
Builds the default type of categorical feature configuration if a type was not specified
|
Constructor and Description |
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OneHotEncodingConfigBuilder(CategoricalPropertyConfig baseConfig) |
Modifier and Type | Class and Description |
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class |
EmbeddingTableConfig
Configuration class for handling categorical feature using embedding table method.
|
class |
OneHotEncodingConfig
Configuration class for handling categorical feature using one hot encoding method.
|
Constructor and Description |
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CategoricalPropertyConfig(CategoricalPropertyConfig otherConfig,
CategoricalEmbeddingType type) |
EmbeddingTableConfig(CategoricalPropertyConfig otherConfig) |
OneHotEncodingConfig(CategoricalPropertyConfig otherConfig) |