Class: Azure::CustomerInsights::Mgmt::V2017_04_26::Models::PredictionModelStatus
- Inherits:
-
Object
- Object
- Azure::CustomerInsights::Mgmt::V2017_04_26::Models::PredictionModelStatus
- Includes:
- MsRestAzure
- Defined in:
- lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb
Overview
The prediction model status.
Instance Attribute Summary collapse
-
#message ⇒ String
The model status message.
-
#model_version ⇒ String
Version of the model.
-
#prediction_guid_id ⇒ String
The prediction GUID ID.
-
#prediction_name ⇒ String
The prediction name.
-
#signals_used ⇒ Integer
The singnas used.
-
#status ⇒ PredictionModelLifeCycle
prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API.
-
#tenant_id ⇒ String
The hub name.
-
#test_set_count ⇒ Integer
Count of the test set.
-
#training_accuracy ⇒ Integer
The training accuracy.
-
#training_set_count ⇒ Integer
Count of the training set.
-
#validation_set_count ⇒ Integer
Count of the validation set.
Class Method Summary collapse
-
.mapper ⇒ Object
Mapper for PredictionModelStatus class as Ruby Hash.
Instance Attribute Details
#message ⇒ String
Returns The model status message.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 35 def end |
#model_version ⇒ String
Returns Version of the model.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 53 def model_version @model_version end |
#prediction_guid_id ⇒ String
Returns The prediction GUID ID.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 22 def prediction_guid_id @prediction_guid_id end |
#prediction_name ⇒ String
Returns The prediction name.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 19 def prediction_name @prediction_name end |
#signals_used ⇒ Integer
Returns The singnas used.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 50 def signals_used @signals_used end |
#status ⇒ PredictionModelLifeCycle
prediction is in PendingModelConfirmation status, it is allowed to update the status to PendingFeaturing or Active through API. Possible values include: ‘New’, ‘Provisioning’, ‘ProvisioningFailed’, ‘PendingDiscovering’, ‘Discovering’, ‘PendingFeaturing’, ‘Featuring’, ‘FeaturingFailed’, ‘PendingTraining’, ‘Training’, ‘TrainingFailed’, ‘Evaluating’, ‘EvaluatingFailed’, ‘PendingModelConfirmation’, ‘Active’, ‘Deleted’, ‘HumanIntervention’, ‘Failed’
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 32 def status @status end |
#tenant_id ⇒ String
Returns The hub name.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 16 def tenant_id @tenant_id end |
#test_set_count ⇒ Integer
Returns Count of the test set.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 41 def test_set_count @test_set_count end |
#training_accuracy ⇒ Integer
Returns The training accuracy.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 47 def training_accuracy @training_accuracy end |
#training_set_count ⇒ Integer
Returns Count of the training set.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 38 def training_set_count @training_set_count end |
#validation_set_count ⇒ Integer
Returns Count of the validation set.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 44 def validation_set_count @validation_set_count end |
Class Method Details
.mapper ⇒ Object
Mapper for PredictionModelStatus class as Ruby Hash. This will be used for serialization/deserialization.
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# File 'lib/2017-04-26/generated/azure_mgmt_customer_insights/models/prediction_model_status.rb', line 60 def self.mapper() { client_side_validation: true, required: false, serialized_name: 'PredictionModelStatus', type: { name: 'Composite', class_name: 'PredictionModelStatus', model_properties: { tenant_id: { client_side_validation: true, required: false, read_only: true, serialized_name: 'tenantId', type: { name: 'String' } }, prediction_name: { client_side_validation: true, required: false, read_only: true, serialized_name: 'predictionName', type: { name: 'String' } }, prediction_guid_id: { client_side_validation: true, required: false, read_only: true, serialized_name: 'predictionGuidId', type: { name: 'String' } }, status: { client_side_validation: true, required: true, serialized_name: 'status', type: { name: 'String' } }, message: { client_side_validation: true, required: false, read_only: true, serialized_name: 'message', type: { name: 'String' } }, training_set_count: { client_side_validation: true, required: false, read_only: true, serialized_name: 'trainingSetCount', type: { name: 'Number' } }, test_set_count: { client_side_validation: true, required: false, read_only: true, serialized_name: 'testSetCount', type: { name: 'Number' } }, validation_set_count: { client_side_validation: true, required: false, read_only: true, serialized_name: 'validationSetCount', type: { name: 'Number' } }, training_accuracy: { client_side_validation: true, required: false, read_only: true, serialized_name: 'trainingAccuracy', type: { name: 'Number' } }, signals_used: { client_side_validation: true, required: false, read_only: true, serialized_name: 'signalsUsed', type: { name: 'Number' } }, model_version: { client_side_validation: true, required: false, read_only: true, serialized_name: 'modelVersion', type: { name: 'String' } } } } } end |