Interface | Description |
---|---|
ModelSummary |
Class | Description |
---|---|
ClusterPoint |
DTO class to store k-means cluster point
|
Feature |
DTO class to store a machine learning feature
|
FeatureSummary |
Feature Class.
|
FeatureType | |
ImputeOption | |
MLAnalysis |
Represent an Analysis in ML.
|
MLCustomizedFeature |
Represent a customized feature in ML.
|
MLDataset |
Represent a Data-set in ML.
|
MLDatasetVersion |
Represent a version-set in ML.
|
MLHyperParameter |
Represent a Hyper Parameter in ML.
|
MLModel |
DTO class to hold a deployable machine learning model
|
MLModelConfiguration |
Represent a Model Configuration in ML.
|
MLModelData |
Represent a Model in ML.
|
MLProject |
Represent a Project in ML.
|
MLStorage |
Represent Model storage information.
|
SamplePoints | |
ScatterPlotPoints | |
SummaryStats |
Represent SummaryStats in ML.
|
Workflow |
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