DocumentModelDetails Class
Document model info.
Readonly variables are only populated by the server, and will be ignored when sending a request.
Constructor
DocumentModelDetails(*args: Any, **kwargs: Any)
Variables
| Name | Description |
|---|---|
|
model_id
|
Unique document model name. Required. |
|
description
|
Document model description. |
|
created_date_time
|
Date and time (UTC) when the document model was created. Required. |
|
expiration_date_time
|
Date and time (UTC) when the document model will expire. |
|
modified_date_time
|
Date and time (UTC) when the document model was last modified. |
|
api_version
|
API version used to create this document model. |
|
tags
|
List of key-value tag attributes associated with the document model. |
|
build_mode
|
Custom document model build mode. Known values are: "template" and "neural". |
|
azure_blob_source
|
Azure Blob Storage location containing the training data. Either azureBlobSource or azureBlobFileListSource must be specified. |
|
azure_blob_file_list_source
|
Azure Blob Storage file list specifying the training data. Either azureBlobSource or azureBlobFileListSource must be specified. |
|
classifier_id
|
For composed models, the custom classifier to split and classify the input file. |
|
split
|
For composed models, the file splitting behavior. Known values are: "auto", "none", and "perPage". |
|
doc_types
|
Supported document types. |
|
warnings
|
List of warnings encountered while building the model. |
|
training_hours
|
Number of V100-equivalent GPU hours consumed for model training. |
Methods
| as_dict |
Return a dict that can be turned into json using json.dump. |
| clear | |
| copy | |
| get | |
| items | |
| keys | |
| pop | |
| popitem | |
| setdefault | |
| update | |
| values |
as_dict
Return a dict that can be turned into json using json.dump.
as_dict(*, exclude_readonly: bool = False) -> Dict[str, Any]
Keyword-Only Parameters
| Name | Description |
|---|---|
|
exclude_readonly
|
Whether to remove the readonly properties. Default value: False
|
Returns
| Type | Description |
|---|---|
|
A dict JSON compatible object |
clear
clear() -> None
copy
copy() -> Model
get
get(key: str, default: Any = None) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
Default value: None
|
items
items() -> ItemsView[str, Any]
keys
keys() -> KeysView[str]
pop
pop(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
|
popitem
popitem() -> Tuple[str, Any]
setdefault
setdefault(key: str, default: ~typing.Any = <object object>) -> Any
Parameters
| Name | Description |
|---|---|
|
key
Required
|
|
|
default
|
|
update
update(*args: Any, **kwargs: Any) -> None
values
values() -> ValuesView[Any]
Attributes
api_version
API version used to create this document model.
api_version: str | None
azure_blob_file_list_source
Azure Blob Storage file list specifying the training data. Either azureBlobSource or azureBlobFileListSource must be specified.
azure_blob_file_list_source: _models.AzureBlobFileListContentSource | None
azure_blob_source
Azure Blob Storage location containing the training data. Either azureBlobSource or azureBlobFileListSource must be specified.
azure_blob_source: _models.AzureBlobContentSource | None
build_mode
"template" and "neural".
build_mode: str | _models.DocumentBuildMode | None
classifier_id
For composed models, the custom classifier to split and classify the input file.
classifier_id: str | None
created_date_time
Date and time (UTC) when the document model was created. Required.
created_date_time: datetime
description
Document model description.
description: str | None
doc_types
Supported document types.
doc_types: Dict[str, _models.DocumentTypeDetails] | None
expiration_date_time
Date and time (UTC) when the document model will expire.
expiration_date_time: datetime | None
model_id
Unique document model name. Required.
model_id: str
modified_date_time
Date and time (UTC) when the document model was last modified.
modified_date_time: datetime | None
split
"auto", "none", and "perPage".
split: str | _models.SplitMode | None
tags
List of key-value tag attributes associated with the document model.
tags: Dict[str, str] | None
training_hours
Number of V100-equivalent GPU hours consumed for model training.
training_hours: float | None
warnings
List of warnings encountered while building the model.
warnings: List[_models.DocumentIntelligenceWarning] | None