abacusai.model_upload

Module Contents

Classes

ModelUpload

A Model Version that includes the upload ids for the various required files.

class abacusai.model_upload.ModelUpload(client, modelId=None, modelVersion=None, status=None, createdAt=None, modelUploadId=None, embeddingsUploadId=None, artifactsUploadId=None, verificationsUploadId=None, defaultItemsUploadId=None, modelFileUploadId=None, modelStateUploadId=None, inputPreprocessorUploadId=None, requirementsUploadId=None, resourcesUploadId=None)

Bases: abacusai.return_class.AbstractApiClass

A Model Version that includes the upload ids for the various required files.

Parameters
  • client (ApiClient) – An authenticated API Client instance

  • modelId (str) – A reference to the model this version belongs to

  • modelVersion (str) – The unique identifier of a model version.

  • status (str) – The current status of the model.

  • createdAt (str) – The timestamp at which the model version was created.

  • modelUploadId (str) – An Upload Identifier to be used when uploading the Tensorflow Saved Model

  • embeddingsUploadId (str) – An Upload Identifier to be used when uploading the embeddings csv

  • artifactsUploadId (str) – An Upload Identifier to be used when uploading the artifacts json file

  • verificationsUploadId (str) – An Upload Identifier to be used when uploading the verifications json file

  • defaultItemsUploadId (str) – An Upload Identifier to be used when uploading the default items json file

  • modelFileUploadId (str) – An Upload Identifier to be used when uploading the model json file

  • modelStateUploadId (str) – An Upload Identifier to be used when uploading the model state json file

  • inputPreprocessorUploadId (str) – An Upload Identifier to be used when uploading the input preprocessor json file

  • requirementsUploadId (str) – An Upload Identifier to be used when uploading the requirements json file

  • resourcesUploadId (str) – An Upload Identifier to be used when uploading the resources json file

__repr__(self)

Return repr(self).

to_dict(self)

Get a dict representation of the parameters in this class

Returns

The dict value representation of the class parameters

Return type

dict