Data Integration
- Data Integration
- All Products
/frs/v1/Documents('<model ID>')
Field
| Type
| Description
|
---|---|---|
name
| String
| Machine learning model asset name.
|
description
| String
| Optional. Description of the machine learning model.
|
documentType
| String
| Use
MLOPS_MODEL .
|
nativeData
| Object
| Blob object that defines the machine learning model.
|
Field
| Type
| Description
|
---|---|---|
name
| String
| Machine learning model asset name.
|
framework
| String
| Framework used to create the machine learning model. Use one of the following values:
|
framework_type
| String
| Internal type of the framework.
For a Python model, use
Custom .
For a PyTorch or TensorFlow model, use
Standard .
|
file_id
| String
| Model file ID generated when you upload the model file.
|
file_name
| String
| Name of the model file. The name must match the file name you used to generate the model file ID.
|
size
| String
| Size of the model file in GB.
|
file_type
| String
| Use
zip .
|
inputField
| Input fields that the machine learning model expects. Include at least one input field.
| |
name
| String
| Name of the field.
|
dataType
| String
| Data type of the field.
|
shape
| String
| Required for array data types. Shape of the array. For example,
[2,3] .
|
outputField
| Output fields that the machine learning model returns. Include at least one output field.
| |
name
| String
| Name of the field.
|
dataType
| String
| Data type of the field.
|
shape
| String
| Required for array data types. Shape of the array. For example,
[2,3] .
|