Ai Language

oci.ai_language.AIServiceLanguageClient OCI Language Service solutions can help enterprise customers integrate AI into their products immediately using our proven, pre-trained and custom models or containers, without a need to set up an house team of AI and ML experts.
oci.ai_language.AIServiceLanguageClientCompositeOperations This class provides a wrapper around AIServiceLanguageClient and offers convenience methods for operations that would otherwise need to be chained together.

Models

oci.ai_language.models.BatchDetectDominantLanguageDetails The documents details for language detect call.
oci.ai_language.models.BatchDetectDominantLanguageResult Result of language detect call.
oci.ai_language.models.BatchDetectLanguageEntitiesDetails The documents details for entities detect call.
oci.ai_language.models.BatchDetectLanguageEntitiesResult Result of entities detect call.
oci.ai_language.models.BatchDetectLanguageKeyPhrasesDetails The documents details for keyPhrases call.
oci.ai_language.models.BatchDetectLanguageKeyPhrasesResult Result of keyPhrases detect call.
oci.ai_language.models.BatchDetectLanguagePiiEntitiesDetails The documents details to detect personal identification information.
oci.ai_language.models.BatchDetectLanguagePiiEntitiesResult Result of batch detect personal identification.
oci.ai_language.models.BatchDetectLanguageSentimentsDetails The documents details for sentiment call.
oci.ai_language.models.BatchDetectLanguageSentimentsResult Result of sentiments detect call.
oci.ai_language.models.BatchDetectLanguageTextClassificationDetails The documents details for text classification call.
oci.ai_language.models.BatchDetectLanguageTextClassificationResult Result of text classification detect call.
oci.ai_language.models.BatchLanguageTranslationDetails The documents details for translation call.
oci.ai_language.models.BatchLanguageTranslationResult Result of translation call.
oci.ai_language.models.Capabilities Capabilities supported
oci.ai_language.models.Capability Capability supported
oci.ai_language.models.ChangeEndpointCompartmentDetails Details for changing the compartment of an Endpoint.
oci.ai_language.models.ChangeJobCompartmentDetails Details for changing the compartment of a language job.
oci.ai_language.models.ChangeModelCompartmentDetails Details for changing the compartment of an Model.
oci.ai_language.models.ChangeProjectCompartmentDetails Details for changing the compartment of a Project.
oci.ai_language.models.ClassMetrics class level Text Classification model metrics
oci.ai_language.models.ClassificationMultiClassModeDetails Possible text classification multi class mode details
oci.ai_language.models.ClassificationMultiLabelModeDetails Possible text classification multi label mode details
oci.ai_language.models.ClassificationType possible text classification modes
oci.ai_language.models.ConfigurationDetails training model details
oci.ai_language.models.ConfusionMatrixDetails confusion matrix details
oci.ai_language.models.CreateEndpointDetails The information needed to create a new endpoint and expose to end users.
oci.ai_language.models.CreateJobDetails Job creation detail which will have documents on which language services need to run prediction along with output folder
oci.ai_language.models.CreateModelDetails The information needed to train a new model
oci.ai_language.models.CreateProjectDetails Parameters needed to create a new project.
oci.ai_language.models.DataScienceLabelingDataset Dataset that uses data science labelling service as underlying data source.
oci.ai_language.models.DatasetDetails Possible data set type
oci.ai_language.models.DetectDominantLanguageDetails The document details for language detect call.
oci.ai_language.models.DetectDominantLanguageResult Result of language detect call.
oci.ai_language.models.DetectLanguageEntitiesDetails The document details for entities detect call.
oci.ai_language.models.DetectLanguageEntitiesResult Result of entities detect call.
oci.ai_language.models.DetectLanguageKeyPhrasesDetails The document details for a keyPhrases detect call.
oci.ai_language.models.DetectLanguageKeyPhrasesResult Result of a language keyPhrases detect call.
oci.ai_language.models.DetectLanguageSentimentsDetails The document details for sentiments detect call.
oci.ai_language.models.DetectLanguageSentimentsResult Result of sentiments detect call.
oci.ai_language.models.DetectLanguageTextClassificationDetails The document details for text classification detect call.
oci.ai_language.models.DetectLanguageTextClassificationResult Result of text classification detect call.
oci.ai_language.models.DetectedLanguage Attributes to the detected language.
oci.ai_language.models.DocumentError Error response for document.
oci.ai_language.models.DocumentsConfiguration Input documents configuration
oci.ai_language.models.DominantLanguageDocument The document details for language detect call.
oci.ai_language.models.DominantLanguageDocumentResult The document response for language detect call.
oci.ai_language.models.Endpoint Description of the endpoint.
oci.ai_language.models.EndpointCollection Results of an endpoint list.
oci.ai_language.models.EndpointSummary Summary of the language endpoint.
oci.ai_language.models.Entity entity object
oci.ai_language.models.EntityDocumentResult The document response for entities detect call.
oci.ai_language.models.EntityLabelErrorAnalysis Possible entity error label error details
oci.ai_language.models.EntityMetrics Entity level named entity recognition model metrics
oci.ai_language.models.ErrorDetails Error Information.
oci.ai_language.models.EvaluationResultCollection Results of a model evaluation analysis search.
oci.ai_language.models.EvaluationResultSummary model evaluation analysis of different models
oci.ai_language.models.EvaluationResults model training results of different models
oci.ai_language.models.HierarchicalEntity Hierarchical entity object
oci.ai_language.models.InputConfiguration input documents configuration by default TXT files will be processed and this behaviour will not change in future after adding new types
oci.ai_language.models.InputLocation document location and other meta data about documents For TXT both ObjectStoragePrefixLocation and ObjectStorageFileNameLocation supported For CSV only ObjectStorageFileNameLocation is supported
oci.ai_language.models.Job Job details which contain input document details on which prediction need to run, features (which and all language services ) need to run and where to store results
oci.ai_language.models.JobCollection list of Jobs created in the compartment and/or after applying filters based on filters provided by user
oci.ai_language.models.JobSummary sub set of Job details data which need returns in list API
oci.ai_language.models.KeyPhrase Key phrase for the given text.
oci.ai_language.models.KeyPhraseDocumentResult The document response for keyPhrases detect call.
oci.ai_language.models.LocationDetails Possible object storage location types
oci.ai_language.models.Model Description of the a Model.
oci.ai_language.models.ModelCollection Results of a model search.
oci.ai_language.models.ModelDetails Possible model types
oci.ai_language.models.ModelMetadataDetails training model details For this release only one model is allowed to be input here.
oci.ai_language.models.ModelSummary Summary of the language Model.
oci.ai_language.models.ModelTypeInfo Model information like versions and capabilities
oci.ai_language.models.NamedEntityRecognitionEvaluationResult Possible NER model error analysis
oci.ai_language.models.NamedEntityRecognitionEvaluationResults Named entity recognition model testing and evaluation results
oci.ai_language.models.NamedEntityRecognitionModelDetails Possible NER model information
oci.ai_language.models.NamedEntityRecognitionModelMetrics Model level named entity recognition metrics
oci.ai_language.models.ObjectListDataset Data source details for object storage
oci.ai_language.models.ObjectPrefixOutputLocation Object storage output location to write inference results
oci.ai_language.models.ObjectStorageDataset Different type of location types supported for object storage
oci.ai_language.models.ObjectStorageFileNameLocation list of text files need to be used for prediction
oci.ai_language.models.ObjectStoragePrefixLocation Properties specific to object storage prefix location
oci.ai_language.models.PiiEntity PII entity object.
oci.ai_language.models.PiiEntityDocumentResult The document response for batch detect personal identification.
oci.ai_language.models.PiiEntityMask Mask PII entities with the given masking character.
oci.ai_language.models.PiiEntityMasking Mask recognized PII entities with different modes.
oci.ai_language.models.PiiEntityRemove Remove PII entities from output.
oci.ai_language.models.PiiEntityReplace Replace PII entities with a given sequence of characters.
oci.ai_language.models.PreDeployedLanguageModels Description of Language Entities.
oci.ai_language.models.PreTrainedHealthNluModelDetails Possible pre trained health NLU model information
oci.ai_language.models.PreTrainedKeyPhraseExtractionModelDetails Possible pre trained TXT model information
oci.ai_language.models.PreTrainedLanguageDetectionModelDetails Possible pre trained TXT model information
oci.ai_language.models.PreTrainedNamedEntityRecognitionModelDetails Possible pre trained NER model information
oci.ai_language.models.PreTrainedPiiModelDetails Possible pre trained PII model information
oci.ai_language.models.PreTrainedSentimentAnalysisModelDetails Possible pre trained TXT model information
oci.ai_language.models.PreTrainedSummarization Possible pre trained summarization information
oci.ai_language.models.PreTrainedTextClassificationModelDetails Possible pre trained TXT model information
oci.ai_language.models.PreTrainedUniversalModel Possible pre trained universal model information
oci.ai_language.models.Project Project enable users to organize their project resources.
oci.ai_language.models.ProjectCollection Results of a Project List.
oci.ai_language.models.ProjectSummary Summary of the project.
oci.ai_language.models.SentimentAspect Sentiment aspect object.
oci.ai_language.models.SentimentDocumentResult The document response for sentiment detect call.
oci.ai_language.models.SentimentSentence Sentiment sentence object.
oci.ai_language.models.TestAndValidationDatasetStrategy This information will be used capture training, testing and validation dataset.
oci.ai_language.models.TestStrategy Possible strategy as testing and validation(optional) dataset.
oci.ai_language.models.TextClassification Text label and score for the given text.
oci.ai_language.models.TextClassificationDocumentResult The document response for test classification detect call.
oci.ai_language.models.TextClassificationEvaluationResults Text Classification model testing and evaluation results
oci.ai_language.models.TextClassificationModelDetails Possible TextClassificationModelDetails
oci.ai_language.models.TextClassificationModelEvaluationResult Possible TXTC model error analysis
oci.ai_language.models.TextClassificationModelMetrics Model level text classification metrics
oci.ai_language.models.TextDocument The document details for language service call.
oci.ai_language.models.TranslationDocumentResult The document response for translation call.
oci.ai_language.models.UpdateEndpointDetails The information to be updated.
oci.ai_language.models.UpdateJobDetails The information to be updated.
oci.ai_language.models.UpdateModelDetails The information to be updated.
oci.ai_language.models.UpdateProjectDetails The information to be updated for the project.
oci.ai_language.models.WorkRequest A description of workrequest status
oci.ai_language.models.WorkRequestError An error encountered while executing a work request.
oci.ai_language.models.WorkRequestErrorCollection Results of a workRequestError search.
oci.ai_language.models.WorkRequestLog A log message from the execution of a work request.
oci.ai_language.models.WorkRequestLogCollection Results of a workRequestLog search.
oci.ai_language.models.WorkRequestResource A resource created or operated on by a work request.
oci.ai_language.models.WorkRequestSummary A summary of the status of a work request.
oci.ai_language.models.WorkRequestSummaryCollection Results of a workRequest search.