Package | Description |
---|---|
com.cloudera.oryx.app.classreg.example |
Representations of features and training / test examples that are used inside a
classification or regression process.
|
com.cloudera.oryx.app.kmeans |
Support code for the k-means application functionality common to several layers.
|
com.cloudera.oryx.app.pmml |
Utility code related to parsing, writing and manipulating PMML representations
of models, specific to applications.
|
com.cloudera.oryx.app.rdf |
Support code for random decision forest application functionality common to several layers,
mostly the scoring support.
|
com.cloudera.oryx.app.serving.kmeans.model |
Data model support for the k-means clustering Serving Layer app.
|
com.cloudera.oryx.app.serving.rdf.model |
Data model support for the random decision forest Serving Layer app.
|
com.cloudera.oryx.app.speed.rdf |
Contains an app tier implementation of a Speed Layer, for random decision forest
classification and regression.
|
Class and Description |
---|
CategoricalValueEncodings
Encapsulates a two-way mapping between the set of values for one categorical feature
as strings, and their encodings as integers.
|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
CategoricalValueEncodings
Encapsulates a two-way mapping between the set of values for one categorical feature
as strings, and their encodings as integers.
|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
CategoricalValueEncodings
Encapsulates a two-way mapping between the set of values for one categorical feature
as strings, and their encodings as integers.
|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
CategoricalValueEncodings
Encapsulates a two-way mapping between the set of values for one categorical feature
as strings, and their encodings as integers.
|
InputSchema
Represents the essential schema information needed for some learning problems.
|
Class and Description |
---|
CategoricalValueEncodings
Encapsulates a two-way mapping between the set of values for one categorical feature
as strings, and their encodings as integers.
|
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