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RescoringOptions Class

Contains the options for rescoring.

Constructor

RescoringOptions(*, enable_rescoring: bool = True, default_oversampling: float | None = None, rescore_storage_method: str | _models.VectorSearchCompressionRescoreStorageMethod | None = None, **kwargs: Any)

Keyword-Only Parameters

Name Description
enable_rescoring

If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency.

Default value: True
default_oversampling

Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency.

Default value: None
rescore_storage_method

Controls the storage method for original vectors. This setting is immutable. Known values are: "preserveOriginals" and "discardOriginals".

Default value: None

Variables

Name Description
enable_rescoring

If set to true, after the initial search on the compressed vectors, the similarity scores are recalculated using the full-precision vectors. This will improve recall at the expense of latency.

default_oversampling

Default oversampling factor. Oversampling retrieves a greater set of potential documents to offset the resolution loss due to quantization. This increases the set of results that will be rescored on full-precision vectors. Minimum value is 1, meaning no oversampling (1x). This parameter can only be set when 'enableRescoring' is true. Higher values improve recall at the expense of latency.

rescore_storage_method

Controls the storage method for original vectors. This setting is immutable. Known values are: "preserveOriginals" and "discardOriginals".

Methods

as_dict

Return a dict that can be serialized using json.dump.

Advanced usage might optionally 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.

deserialize

Parse a str using the RestAPI syntax and return a model.

enable_additional_properties_sending
from_dict

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)

is_xml_model
serialize

Return the JSON that would be sent to server 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.

as_dict

Return a dict that can be serialized using json.dump.

Advanced usage might optionally 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.

as_dict(keep_readonly: bool = True, key_transformer: ~typing.Callable[[str, dict[str, typing.Any], ~typing.Any], ~typing.Any] = <function attribute_transformer>, **kwargs: ~typing.Any) -> MutableMapping[str, Any]

Parameters

Name Description
keep_readonly

If you want to serialize the readonly attributes

Default value: True
key_transformer
<xref:function>

A key transformer function.

Returns

Type Description

A dict JSON compatible object

deserialize

Parse a str using the RestAPI syntax and return a model.

deserialize(data: Any, content_type: str | None = None) -> Self

Parameters

Name Description
data
Required
str

A str using RestAPI structure. JSON by default.

content_type
str

JSON by default, set application/xml if XML.

Default value: None

Returns

Type Description

An instance of this model

Exceptions

Type Description
DeserializationError

if something went wrong

enable_additional_properties_sending

enable_additional_properties_sending() -> None

from_dict

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)

from_dict(data: Any, key_extractors: Callable[[str, dict[str, Any], Any], Any] | None = None, content_type: str | None = None) -> Self

Parameters

Name Description
data
Required

A dict using RestAPI structure

key_extractors
<xref:function>

A key extractor function.

Default value: None
content_type
str

JSON by default, set application/xml if XML.

Default value: None

Returns

Type Description

An instance of this model

Exceptions

Type Description
DeserializationError

if something went wrong

is_xml_model

is_xml_model() -> bool

serialize

Return the JSON that would be sent to server 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.

serialize(keep_readonly: bool = False, **kwargs: Any) -> MutableMapping[str, Any]

Parameters

Name Description
keep_readonly

If you want to serialize the readonly attributes

Default value: False

Returns

Type Description

A dict JSON compatible object