Training Sets
Register a training set.
Example:
ff.register_training_set(
name="my_training_set",
label=("label", "v1"),
features=[("feature1", "v1"), ("feature2", "v1")],
)
Parameters:
Name | Type | Description | Default |
---|---|---|---|
name |
str
|
Name of training set to be registered |
required |
variant |
str
|
Name of variant to be registered |
''
|
label |
NameVariant
|
Label of training set |
('', '')
|
features |
List[NameVariant]
|
Features of training set |
[]
|
resources |
List[Resource]
|
A list of previously registered resources |
[]
|
owner |
Union[str, UserRegistrar]
|
Owner |
''
|
description |
str
|
Description of training set to be registered |
''
|
schedule |
str
|
Kubernetes CronJob schedule string (" * * * ") |
''
|
tags |
List[str]
|
Optional grouping mechanism for resources |
[]
|
properties |
dict
|
Optional grouping mechanism for resources |
{}
|
Returns:
Name | Type | Description |
---|---|---|
resource |
ResourceRegistrar
|
resource |