azure.ai.language.questionanswering.models package¶
-
class
azure.ai.language.questionanswering.models.AnswerSpan(*, text: Optional[str] = None, confidence: Optional[float] = None, offset: Optional[int] = None, length: Optional[int] = None, **kwargs)[source]¶ Answer span object of QnA.
- Variables
- Keyword Arguments
-
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.AnswersFromTextOptions(*, question: str, text_documents: List[Union[str, azure.ai.language.questionanswering.models._models_py3.TextDocument]], language: Optional[str] = None, **kwargs)[source]¶ The question and text record parameters to answer.
All required parameters must be populated in order to send to Azure.
- Variables
question (str) – Required. User question to query against the given text records.
text_documents (list[str or TextDocument]) – 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.
- Keyword Arguments
question (str) – Required. User question to query against the given text records.
text_documents (list[str or TextDocument]) – 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.
-
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.AnswersFromTextResult(*, answers: Optional[List[azure.ai.language.questionanswering.models._models_py3.TextAnswer]] = None, **kwargs)[source]¶ Represents the answer results.
- Variables
answers (list[TextAnswer]) – Represents the answer results.
- Keyword Arguments
answers (list[TextAnswer]) – Represents the answer results.
-
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.AnswersOptions(*, qna_id: Optional[int] = None, question: Optional[str] = None, top: Optional[int] = None, user_id: Optional[str] = None, confidence_threshold: Optional[float] = None, answer_context: Optional[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswerContext] = None, ranker_kind: Optional[str] = None, filters: Optional[azure.ai.language.questionanswering.models._models_py3.QueryFilters] = None, short_answer_options: Optional[azure.ai.language.questionanswering.models._models_py3.ShortAnswerOptions] = None, include_unstructured_sources: Optional[bool] = None, **kwargs)[source]¶ Parameters to query a knowledge base.
- Variables
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_threshold (float) – Minimum threshold score for answers, value ranges from 0 to 1.
answer_context (KnowledgeBaseAnswerContext) – Context object with previous QnA’s information.
ranker_kind (str) – Type of ranker to be used. Possible values include: “Default”, “QuestionOnly”.
filters (QueryFilters) – Filter QnAs based on given metadata list and knowledge base sources.
short_answer_options (ShortAnswerOptions) – To configure Answer span prediction feature.
include_unstructured_sources (bool) – (Optional) Flag to enable Query over Unstructured Sources.
- Keyword Arguments
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_threshold (float) – Minimum threshold score for answers, value ranges from 0 to 1.
answer_context (KnowledgeBaseAnswerContext) – Context object with previous QnA’s information.
ranker_kind (str) – Type of ranker to be used. Possible values include: “Default”, “QuestionOnly”.
filters (QueryFilters) – Filter QnAs based on given metadata list and knowledge base sources.
short_answer_options (ShortAnswerOptions) – To configure Answer span prediction feature.
include_unstructured_sources (bool) – (Optional) Flag to enable Query over Unstructured Sources.
-
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.AnswersResult(*, answers: Optional[List[azure.ai.language.questionanswering.models._models_py3.KnowledgeBaseAnswer]] = None, **kwargs)[source]¶ Represents List of Question Answers.
- Variables
answers (list[KnowledgeBaseAnswer]) – Represents Answer Result list.
- Keyword Arguments
answers (list[KnowledgeBaseAnswer]) – Represents Answer Result list.
-
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.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.
- Variables
code (str or ErrorCode) – Required. One of a server-defined set of error codes. Possible values include: “InvalidRequest”, “InvalidArgument”, “Unauthorized”, “Forbidden”, “NotFound”, “ProjectNotFound”, “OperationNotFound”, “AzureCognitiveSearchNotFound”, “AzureCognitiveSearchIndexNotFound”, “TooManyRequests”, “AzureCognitiveSearchThrottling”, “AzureCognitiveSearchIndexLimitReached”, “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.
- Keyword Arguments
code (str or ErrorCode) – Required. One of a server-defined set of error codes. Possible values include: “InvalidRequest”, “InvalidArgument”, “Unauthorized”, “Forbidden”, “NotFound”, “ProjectNotFound”, “OperationNotFound”, “AzureCognitiveSearchNotFound”, “AzureCognitiveSearchIndexNotFound”, “TooManyRequests”, “AzureCognitiveSearchThrottling”, “AzureCognitiveSearchIndexLimitReached”, “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.
-
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.ErrorCode(value)[source]¶ Human-readable error code.
-
AZURE_COGNITIVE_SEARCH_INDEX_LIMIT_REACHED= 'AzureCognitiveSearchIndexLimitReached'¶
-
AZURE_COGNITIVE_SEARCH_INDEX_NOT_FOUND= 'AzureCognitiveSearchIndexNotFound'¶
-
AZURE_COGNITIVE_SEARCH_NOT_FOUND= 'AzureCognitiveSearchNotFound'¶
-
AZURE_COGNITIVE_SEARCH_THROTTLING= 'AzureCognitiveSearchThrottling'¶
-
FORBIDDEN= 'Forbidden'¶
-
INTERNAL_SERVER_ERROR= 'InternalServerError'¶
-
INVALID_ARGUMENT= 'InvalidArgument'¶
-
INVALID_REQUEST= 'InvalidRequest'¶
-
NOT_FOUND= 'NotFound'¶
-
OPERATION_NOT_FOUND= 'OperationNotFound'¶
-
PROJECT_NOT_FOUND= 'ProjectNotFound'¶
-
SERVICE_UNAVAILABLE= 'ServiceUnavailable'¶
-
TOO_MANY_REQUESTS= 'TooManyRequests'¶
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UNAUTHORIZED= 'Unauthorized'¶
-
-
class
azure.ai.language.questionanswering.models.ErrorResponse(*, error: Optional[azure.ai.language.questionanswering.models._models_py3.Error] = None, **kwargs)[source]¶ Error response.
-
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.InnerErrorCode(value)[source]¶ Human-readable error code.
-
AZURE_COGNITIVE_SEARCH_NOT_FOUND= 'AzureCognitiveSearchNotFound'¶
-
AZURE_COGNITIVE_SEARCH_THROTTLING= 'AzureCognitiveSearchThrottling'¶
-
EXTRACTION_FAILURE= 'ExtractionFailure'¶
-
INVALID_PARAMETER_VALUE= 'InvalidParameterValue'¶
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INVALID_REQUEST= 'InvalidRequest'¶
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KNOWLEDGE_BASE_NOT_FOUND= 'KnowledgeBaseNotFound'¶
-
-
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.
- Variables
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.
- Keyword Arguments
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.
-
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.KnowledgeBaseAnswer(*, questions: Optional[List[str]] = None, answer: Optional[str] = None, confidence: Optional[float] = None, qna_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, short_answer: Optional[azure.ai.language.questionanswering.models._models_py3.AnswerSpan] = None, **kwargs)[source]¶ Represents knowledge base answer.
- Variables
questions (list[str]) – List of questions associated with the answer.
answer (str) – Answer text.
confidence (float) – Answer confidence score, value ranges from 0 to 1.
qna_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.
short_answer (AnswerSpan) – Answer span object of QnA with respect to user’s question.
- Keyword Arguments
questions (list[str]) – List of questions associated with the answer.
answer (str) – Answer text.
confidence (float) – Answer confidence score, value ranges from 0 to 1.
qna_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.
short_answer (AnswerSpan) – Answer span object of QnA with respect to user’s question.
-
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.KnowledgeBaseAnswerContext(*, previous_qna_id: int, previous_question: Optional[str] = None, **kwargs)[source]¶ Context object with previous QnA’s information.
All required parameters must be populated in order to send to Azure.
- Variables
- Keyword Arguments
-
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.
- Variables
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 prompts associated with the answer.
- Keyword Arguments
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 prompts associated with the answer.
-
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.
- Variables
- Keyword Arguments
-
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[List[Tuple[str, str]]] = None, logical_operation: Optional[str] = None, **kwargs)[source]¶ Find QnAs that are associated with the given list of metadata.
- Variables
- Keyword Arguments
-
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.QueryFilters(*, metadata_filter: Optional[azure.ai.language.questionanswering.models._models_py3.MetadataFilter] = None, source_filter: Optional[List[str]] = None, logical_operation: Optional[str] = None, **kwargs)[source]¶ filters over knowledge base.
- Variables
metadata_filter (MetadataFilter) – Find QnAs that are associated with the given list of metadata.
source_filter (list[str]) – Find QnAs that are associated with any of the given list of sources in knowledge base.
logical_operation (str) – Logical operation used to join metadata filter with source filter. Possible values include: “AND”, “OR”.
- Keyword Arguments
metadata_filter (MetadataFilter) – Find QnAs that are associated with the given list of metadata.
source_filter (list[str]) – Find QnAs that are associated with any of the given list of sources in knowledge base.
logical_operation (str) – Logical operation used to join metadata filter with source filter. 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.
-
class
azure.ai.language.questionanswering.models.ShortAnswerOptions(*, confidence_threshold: Optional[float] = None, top: Optional[int] = None, **kwargs)[source]¶ To configure Answer span prediction feature.
Variables are only populated by the server, and will be ignored when sending a request.
All required parameters must be populated in order to send to Azure.
- Variables
- Keyword Arguments
-
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.
-
validate()¶ Validate this model recursively and return a list of ValidationError.
- Returns
A list of validation error
- Return type
-
enable= True¶
-
class
azure.ai.language.questionanswering.models.TextAnswer(*, answer: Optional[str] = None, confidence: Optional[float] = None, id: Optional[str] = None, short_answer: Optional[azure.ai.language.questionanswering.models._models_py3.AnswerSpan] = None, offset: Optional[int] = None, length: Optional[int] = None, **kwargs)[source]¶ Represents answer result.
- Variables
answer (str) – Answer.
confidence (float) – answer confidence score, value ranges from 0 to 1.
short_answer (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.
- Keyword Arguments
answer (str) – Answer.
confidence (float) – answer confidence score, value ranges from 0 to 1.
id (str) – record ID.
short_answer (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.
-
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.TextDocument(*, 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.
- Variables
- Keyword Arguments
-
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.