| 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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