Package com.oracle.bmc.aivision.model
Class Model
- java.lang.Object
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- com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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- com.oracle.bmc.aivision.model.Model
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@Generated(value="OracleSDKGenerator", comments="API Version: 20220125") public final class Model extends com.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
Machine-learned Model.
Note: Objects should always be created or deserialized using theModel.Builder
. This model distinguishes fields that are null because they are unset from fields that are explicitly set to null. This is done in the setter methods of theModel.Builder
, which maintain a set of all explicitly set fields calledModel.Builder.__explicitlySet__
. ThehashCode()
andequals(Object)
methods are implemented to take the explicitly set fields into account. The constructor, on the other hand, does not take the explicitly set fields into account (since the constructor cannot distinguish explicit null from unset null).
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Nested Class Summary
Nested Classes Modifier and Type Class Description static class
Model.Builder
static class
Model.LifecycleState
The current state of the model.static class
Model.ModelType
What type of Vision model this is.
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Constructor Summary
Constructors Constructor Description Model(String id, String displayName, String description, String compartmentId, Model.ModelType modelType, Boolean isQuickMode, Double maxTrainingDurationInHours, Double trainedDurationInHours, Dataset trainingDataset, Dataset testingDataset, Dataset validationDataset, String modelVersion, String projectId, Date timeCreated, Date timeUpdated, Model.LifecycleState lifecycleState, String lifecycleDetails, Float precision, Float recall, Float averagePrecision, Float confidenceThreshold, Integer totalImageCount, Integer testImageCount, String metrics, Map<String,String> freeformTags, Map<String,Map<String,Object>> definedTags, Map<String,Map<String,Object>> systemTags)
Deprecated.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static Model.Builder
builder()
Create a new builder.boolean
equals(Object o)
Float
getAveragePrecision()
The mean average precision of the trained model.String
getCompartmentId()
The compartment identifier.Float
getConfidenceThreshold()
The intersection over the union threshold used for calculating precision and recall.Map<String,Map<String,Object>>
getDefinedTags()
Defined tags for this resource.String
getDescription()
An optional description of the model.String
getDisplayName()
A human-friendly name for the model, which can be changed.Map<String,String>
getFreeformTags()
A simple key-value pair that is applied without any predefined name, type, or scope.String
getId()
A unique identifier that is immutable after creation.Boolean
getIsQuickMode()
Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.String
getLifecycleDetails()
A message describing the current state in more detail, that can provide actionable information if training failed.Model.LifecycleState
getLifecycleState()
The current state of the model.Double
getMaxTrainingDurationInHours()
The maximum model training duration in hours, expressed as a decimal fraction.String
getMetrics()
The complete set of per-label metrics for successfully trained models.Model.ModelType
getModelType()
What type of Vision model this is.String
getModelVersion()
The version of the model.Float
getPrecision()
The precision of the trained model.String
getProjectId()
The OCID of the project that contains the model.Float
getRecall()
Recall of the trained model.Map<String,Map<String,Object>>
getSystemTags()
Usage of system tag keys.Integer
getTestImageCount()
The number of images set aside for evaluating model performance metrics after training.Dataset
getTestingDataset()
Date
getTimeCreated()
When the model was created, as an RFC3339 datetime string.Date
getTimeUpdated()
When the model was updated, as an RFC3339 datetime string.Integer
getTotalImageCount()
The number of images in the dataset used to train, validate, and test the model.Double
getTrainedDurationInHours()
The total hours actually used for model training.Dataset
getTrainingDataset()
Dataset
getValidationDataset()
int
hashCode()
Model.Builder
toBuilder()
String
toString()
String
toString(boolean includeByteArrayContents)
Return a string representation of the object.
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Constructor Detail
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Model
@Deprecated @ConstructorProperties({"id","displayName","description","compartmentId","modelType","isQuickMode","maxTrainingDurationInHours","trainedDurationInHours","trainingDataset","testingDataset","validationDataset","modelVersion","projectId","timeCreated","timeUpdated","lifecycleState","lifecycleDetails","precision","recall","averagePrecision","confidenceThreshold","totalImageCount","testImageCount","metrics","freeformTags","definedTags","systemTags"}) public Model(String id, String displayName, String description, String compartmentId, Model.ModelType modelType, Boolean isQuickMode, Double maxTrainingDurationInHours, Double trainedDurationInHours, Dataset trainingDataset, Dataset testingDataset, Dataset validationDataset, String modelVersion, String projectId, Date timeCreated, Date timeUpdated, Model.LifecycleState lifecycleState, String lifecycleDetails, Float precision, Float recall, Float averagePrecision, Float confidenceThreshold, Integer totalImageCount, Integer testImageCount, String metrics, Map<String,String> freeformTags, Map<String,Map<String,Object>> definedTags, Map<String,Map<String,Object>> systemTags)
Deprecated.
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Method Detail
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builder
public static Model.Builder builder()
Create a new builder.
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toBuilder
public Model.Builder toBuilder()
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getId
public String getId()
A unique identifier that is immutable after creation.- Returns:
- the value
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getDisplayName
public String getDisplayName()
A human-friendly name for the model, which can be changed.- Returns:
- the value
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getDescription
public String getDescription()
An optional description of the model.- Returns:
- the value
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getCompartmentId
public String getCompartmentId()
The compartment identifier.- Returns:
- the value
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getModelType
public Model.ModelType getModelType()
What type of Vision model this is.- Returns:
- the value
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getIsQuickMode
public Boolean getIsQuickMode()
Set to true when experimenting with a new model type or dataset, so model training is quick, with a predefined low number of passes through the training data.- Returns:
- the value
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getMaxTrainingDurationInHours
public Double getMaxTrainingDurationInHours()
The maximum model training duration in hours, expressed as a decimal fraction.- Returns:
- the value
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getTrainedDurationInHours
public Double getTrainedDurationInHours()
The total hours actually used for model training.- Returns:
- the value
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getTrainingDataset
public Dataset getTrainingDataset()
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getTestingDataset
public Dataset getTestingDataset()
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getValidationDataset
public Dataset getValidationDataset()
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getModelVersion
public String getModelVersion()
The version of the model.- Returns:
- the value
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getProjectId
public String getProjectId()
The OCID of the project that contains the model.- Returns:
- the value
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getTimeCreated
public Date getTimeCreated()
When the model was created, as an RFC3339 datetime string.- Returns:
- the value
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getTimeUpdated
public Date getTimeUpdated()
When the model was updated, as an RFC3339 datetime string.- Returns:
- the value
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getLifecycleState
public Model.LifecycleState getLifecycleState()
The current state of the model.- Returns:
- the value
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getLifecycleDetails
public String getLifecycleDetails()
A message describing the current state in more detail, that can provide actionable information if training failed.- Returns:
- the value
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getPrecision
public Float getPrecision()
The precision of the trained model.- Returns:
- the value
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getRecall
public Float getRecall()
Recall of the trained model.- Returns:
- the value
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getAveragePrecision
public Float getAveragePrecision()
The mean average precision of the trained model.- Returns:
- the value
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getConfidenceThreshold
public Float getConfidenceThreshold()
The intersection over the union threshold used for calculating precision and recall.- Returns:
- the value
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getTotalImageCount
public Integer getTotalImageCount()
The number of images in the dataset used to train, validate, and test the model.- Returns:
- the value
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getTestImageCount
public Integer getTestImageCount()
The number of images set aside for evaluating model performance metrics after training.- Returns:
- the value
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getMetrics
public String getMetrics()
The complete set of per-label metrics for successfully trained models.- Returns:
- the value
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getFreeformTags
public Map<String,String> getFreeformTags()
A simple key-value pair that is applied without any predefined name, type, or scope.It exists for cross-compatibility only. For example: {“bar-key”: “value”}
- Returns:
- the value
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getDefinedTags
public Map<String,Map<String,Object>> getDefinedTags()
Defined tags for this resource.Each key is predefined and scoped to a namespace. For example: {“foo-namespace”: {“bar-key”: “value”}}
- Returns:
- the value
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getSystemTags
public Map<String,Map<String,Object>> getSystemTags()
Usage of system tag keys.These predefined keys are scoped to namespaces. For example: {“orcl-cloud”: {“free-tier-retained”: “true”}}
- Returns:
- the value
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toString
public String toString()
- Overrides:
toString
in classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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toString
public String toString(boolean includeByteArrayContents)
Return a string representation of the object.- Parameters:
includeByteArrayContents
- true to include the full contents of byte arrays- Returns:
- string representation
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equals
public boolean equals(Object o)
- Overrides:
equals
in classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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hashCode
public int hashCode()
- Overrides:
hashCode
in classcom.oracle.bmc.http.client.internal.ExplicitlySetBmcModel
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