azure.ai.language.questionanswering.models package¶
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class
azure.ai.language.questionanswering.models.AnswerSpan(*, text: Optional[str] = None, confidence_score: Optional[float] = None, offset: Optional[int] = None, length: Optional[int] = None, **kwargs)[source]¶ Answer span object of QnA.
- Parameters
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
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classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.AnswerSpanRequest(*, enable: Optional[bool] = None, confidence_score_threshold: Optional[float] = None, top_answers_with_span: Optional[int] = None, **kwargs)[source]¶ To configure Answer span prediction feature.
- Parameters
-
as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.CompoundOperationKind(value)[source]¶ (Optional) Set to ‘OR’ for joining metadata using ‘OR’ operation.
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AND_ENUM= 'AND'¶
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OR_ENUM= 'OR'¶
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class
azure.ai.language.questionanswering.models.Error(*, code: str, message: str, target: Optional[str] = None, details: Optional[List[azure.ai.language.questionanswering.models._models_py3.Error]] = None, innererror: Optional[azure.ai.language.questionanswering.models._models_py3.InnerErrorModel] = None, **kwargs)[source]¶ The error object.
All required parameters must be populated in order to send to Azure.
- Parameters
code (str or ErrorCode) – Required. One of a server-defined set of error codes. Possible values include: “InvalidRequest”, “InvalidArgument”, “Unauthorized”, “Forbidden”, “NotFound”, “TooManyRequests”, “InternalServerError”, “ServiceUnavailable”.
message (str) – Required. A human-readable representation of the error.
target (str) – The target of the error.
details (list[Error]) – An array of details about specific errors that led to this reported error.
innererror (InnerErrorModel) – An object containing more specific information than the current object about the error.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.ErrorCode(value)[source]¶ Human-readable error code.
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FORBIDDEN= 'Forbidden'¶
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INTERNAL_SERVER_ERROR= 'InternalServerError'¶
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INVALID_ARGUMENT= 'InvalidArgument'¶
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INVALID_REQUEST= 'InvalidRequest'¶
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NOT_FOUND= 'NotFound'¶
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SERVICE_UNAVAILABLE= 'ServiceUnavailable'¶
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TOO_MANY_REQUESTS= 'TooManyRequests'¶
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UNAUTHORIZED= 'Unauthorized'¶
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class
azure.ai.language.questionanswering.models.ErrorResponse(*, error: Optional[azure.ai.language.questionanswering.models._models_py3.Error] = None, **kwargs)[source]¶ Error response.
- Parameters
error (Error) – The error object.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.InnerErrorCode(value)[source]¶ Human-readable error code.
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AZURE_COGNITIVE_SEARCH_NOT_FOUND= 'AzureCognitiveSearchNotFound'¶
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AZURE_COGNITIVE_SEARCH_THROTTLING= 'AzureCognitiveSearchThrottling'¶
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EXTRACTION_FAILURE= 'ExtractionFailure'¶
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INVALID_PARAMETER_VALUE= 'InvalidParameterValue'¶
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INVALID_REQUEST= 'InvalidRequest'¶
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KNOWLEDGE_BASE_NOT_FOUND= 'KnowledgeBaseNotFound'¶
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class
azure.ai.language.questionanswering.models.InnerErrorModel(*, code: str, message: str, details: Optional[Dict[str, str]] = None, target: Optional[str] = None, innererror: Optional[azure.ai.language.questionanswering.models._models_py3.InnerErrorModel] = None, **kwargs)[source]¶ An object containing more specific information about the error. As per Microsoft One API guidelines - https://github.com/Microsoft/api-guidelines/blob/vNext/Guidelines.md#7102-error-condition-responses.
All required parameters must be populated in order to send to Azure.
- Parameters
code (str or InnerErrorCode) – Required. One of a server-defined set of error codes. Possible values include: “InvalidRequest”, “InvalidParameterValue”, “KnowledgeBaseNotFound”, “AzureCognitiveSearchNotFound”, “AzureCognitiveSearchThrottling”, “ExtractionFailure”.
message (str) – Required. Error message.
target (str) – Error target.
innererror (InnerErrorModel) – An object containing more specific information than the current object about the error.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.KnowledgeBaseAnswer(*, questions: Optional[List[str]] = None, answer: Optional[str] = None, confidence_score: Optional[float] = None, id: Optional[int] = None, source: Optional[str] = None, metadata: Optional[Dict[str, str]] = None, dialog: Optional[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswerDialog] = None, answer_span: Optional[azure.ai.language.questionanswering.models._models_py3.AnswerSpan] = None, **kwargs)[source]¶ Represents knowledge base answer.
- Parameters
answer (str) – The Answer.
confidence_score (float) – Answer confidence score, value ranges from 0 to 1.
id (int) – ID of the QnA result.
source (str) – Source of QnA result.
metadata (dict[str, str]) – Metadata associated with the answer, useful to categorize or filter question answers.
dialog (KnowledgeBaseAnswerDialog) – Dialog associated with Answer.
answer_span (AnswerSpan) – Answer span object of QnA with respect to user’s question.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.KnowledgeBaseAnswerDialog(*, is_context_only: Optional[bool] = None, prompts: Optional[List[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswerPrompt]] = None, **kwargs)[source]¶ Dialog associated with Answer.
- Parameters
is_context_only (bool) – To mark if a prompt is relevant only with a previous question or not. If true, do not include this QnA as search result for queries without context; otherwise, if false, ignores context and includes this QnA in search result.
prompts (list[KnowledgeBaseAnswerPrompt]) – List of 0 to 20 prompts associated with the answer.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.KnowledgeBaseAnswerPrompt(*, display_order: Optional[int] = None, qna_id: Optional[int] = None, display_text: Optional[str] = None, **kwargs)[source]¶ Prompt for an answer.
- Parameters
-
as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.KnowledgeBaseAnswerRequestContext(*, previous_qna_id: int, previous_user_query: Optional[str] = None, **kwargs)[source]¶ Context object with previous QnA’s information.
All required parameters must be populated in order to send to Azure.
- Parameters
-
as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.KnowledgeBaseAnswers(*, answers: Optional[List[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswer]] = None, **kwargs)[source]¶ Represents List of Question Answers.
- Parameters
answers (list[KnowledgeBaseAnswer]) – Represents Answer Result list.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.KnowledgeBaseQueryOptions(*, qna_id: Optional[int] = None, question: Optional[str] = None, top: Optional[int] = None, user_id: Optional[str] = None, confidence_score_threshold: Optional[float] = None, context: Optional[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswerRequestContext] = None, ranker_type: Optional[str] = None, strict_filters: Optional[azure.ai.language.questionanswering.models._models_py3.StrictFilters] = None, answer_span_request: Optional[azure.ai.language.questionanswering.models._models_py3.AnswerSpanRequest] = None, include_unstructured_sources: Optional[bool] = None, **kwargs)[source]¶ The question parameters to answer using a knowledge base.
- Parameters
qna_id (int) – Exact QnA ID to fetch from the knowledge base, this field takes priority over question.
question (str) – User question to query against the knowledge base.
top (int) – Max number of answers to be returned for the question.
user_id (str) – Unique identifier for the user.
confidence_score_threshold (float) – Minimum threshold score for answers, value ranges from 0 to 1.
context (KnowledgeBaseAnswerRequestContext) – Context object with previous QnA’s information.
ranker_type (str or RankerType) – (Optional) Set to ‘QuestionOnly’ for using a question only Ranker. Possible values include: “Default”, “QuestionOnly”.
strict_filters (StrictFilters) – Filter QnAs based on give metadata list and knowledge base source names.
answer_span_request (AnswerSpanRequest) – To configure Answer span prediction feature.
include_unstructured_sources (bool) – (Optional) Flag to enable Query over Unstructured Sources.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
-
class
azure.ai.language.questionanswering.models.MetadataFilter(*, metadata: Optional[Dict[str, str]] = None, compound_operation: Optional[str] = None, **kwargs)[source]¶ Find QnAs that are associated with the given list of metadata.
- Parameters
compound_operation (str or CompoundOperationKind) – (Optional) Set to ‘OR’ for joining metadata using ‘OR’ operation. Possible values include: “AND”, “OR”.
-
as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.RankerType(value)[source]¶ (Optional) Set to ‘QuestionOnly’ for using a question only Ranker.
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DEFAULT= 'Default'¶
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QUESTION_ONLY= 'QuestionOnly'¶
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class
azure.ai.language.questionanswering.models.StrictFilters(*, metadata_filter: Optional[azure.ai.language.questionanswering.models._models_py3.MetadataFilter] = None, source_filter: Optional[List[str]] = None, compound_operation: Optional[str] = None, **kwargs)[source]¶ filters over knowledge base.
- Parameters
metadata_filter (MetadataFilter) – Find QnAs that are associated with the given list of metadata.
source_filter (list[str]) – Find QnAs that are associated with the given list of sources in knowledge base.
compound_operation (str or CompoundOperationKind) – (Optional) Set to ‘OR’ for joining metadata using ‘OR’ operation. Possible values include: “AND”, “OR”.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
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classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
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classmethod
enable_additional_properties_sending()¶
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classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
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classmethod
is_xml_model()¶
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serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.StringIndexType(value)[source]¶ Specifies the method used to interpret string offsets. Defaults to Text Elements (Graphemes) according to Unicode v8.0.0. For additional information see https://aka.ms/text-analytics-offsets.
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TEXT_ELEMENTS_V8= 'TextElements_v8'¶ Returned offset and length values will correspond to TextElements (Graphemes and Grapheme clusters) confirming to the Unicode 8.0.0 standard. Use this option if your application is written in .Net Framework or .Net Core and you will be using StringInfo.
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UNICODE_CODE_POINT= 'UnicodeCodePoint'¶ Returned offset and length values will correspond to Unicode code points. Use this option if your application is written in a language that support Unicode, for example Python.
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UTF16_CODE_UNIT= 'Utf16CodeUnit'¶ Returned offset and length values will correspond to UTF-16 code units. Use this option if your application is written in a language that support Unicode, for example Java, JavaScript.
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class
azure.ai.language.questionanswering.models.TextAnswer(*, answer: Optional[str] = None, confidence_score: Optional[float] = None, id: Optional[str] = None, answer_span: Optional[azure.ai.language.questionanswering.models._models_py3.AnswerSpan] = None, offset: Optional[int] = None, length: Optional[int] = None, **kwargs)[source]¶ Represents answer result.
- Parameters
answer (str) – Answer.
confidence_score (float) – answer confidence score, value ranges from 0 to 1.
id (str) – record ID.
answer_span (AnswerSpan) – Answer span object with respect to user’s question.
offset (int) – The sentence offset from the start of the document.
length (int) – The length of the sentence.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
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classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
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classmethod
enable_additional_properties_sending()¶
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classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
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classmethod
is_xml_model()¶
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serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.TextAnswers(*, answers: Optional[List[azure.ai.language.questionanswering.models._models_py3.TextAnswer]] = None, **kwargs)[source]¶ Represents the answer results.
- Parameters
answers (list[TextAnswer]) – Represents the answer results.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
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classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
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classmethod
enable_additional_properties_sending()¶
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classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
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classmethod
is_xml_model()¶
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serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.TextQueryOptions(*, question: str, records: List[azure.ai.language.questionanswering.models._models_py3.TextRecord], language: Optional[str] = None, string_index_type: Optional[str] = 'TextElements_v8', **kwargs)[source]¶ The question and text record parameters to answer.
All required parameters must be populated in order to send to Azure.
- Parameters
question (str) – Required. User question to query against the given text records.
records (list[TextRecord]) – Required. Text records to be searched for given question.
language (str) – Language of the text records. This is BCP-47 representation of a language. For example, use “en” for English; “es” for Spanish etc. If not set, use “en” for English as default.
string_index_type (str or StringIndexType) – Specifies the method used to interpret string offsets. Defaults to Text Elements (Graphemes) according to Unicode v8.0.0. For additional information see https://aka.ms/text-analytics-offsets. Possible values include: “TextElements_v8”, “UnicodeCodePoint”, “Utf16CodeUnit”. Default value: “TextElements_v8”.
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as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
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classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
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classmethod
is_xml_model()¶
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serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.
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class
azure.ai.language.questionanswering.models.TextRecord(*, id: str, text: str, **kwargs)[source]¶ Represent input text record to be queried.
All required parameters must be populated in order to send to Azure.
- Parameters
-
as_dict(keep_readonly=True, key_transformer=<function attribute_transformer>, **kwargs)¶ Return a dict that can be JSONify using json.dump.
Advanced usage might optionaly use a callback as parameter:
Key is the attribute name used in Python. Attr_desc is a dict of metadata. Currently contains ‘type’ with the msrest type and ‘key’ with the RestAPI encoded key. Value is the current value in this object.
The string returned will be used to serialize the key. If the return type is a list, this is considered hierarchical result dict.
See the three examples in this file:
attribute_transformer
full_restapi_key_transformer
last_restapi_key_transformer
If you want XML serialization, you can pass the kwargs is_xml=True.
- Parameters
key_transformer (function) – A key transformer function.
- Returns
A dict JSON compatible object
- Return type
-
classmethod
deserialize(data, content_type=None)¶ Parse a str using the RestAPI syntax and return a model.
-
classmethod
enable_additional_properties_sending()¶
-
classmethod
from_dict(data, key_extractors=None, content_type=None)¶ Parse a dict using given key extractor return a model.
By default consider key extractors (rest_key_case_insensitive_extractor, attribute_key_case_insensitive_extractor and last_rest_key_case_insensitive_extractor)
-
classmethod
is_xml_model()¶
-
serialize(keep_readonly=False, **kwargs)¶ Return the JSON that would be sent to azure from this model.
This is an alias to as_dict(full_restapi_key_transformer, keep_readonly=False).
If you want XML serialization, you can pass the kwargs is_xml=True.