Project.md

Project

Project collects test runs for a Stress Test or Continuous Test that relate to a shared machine learning task. Each model for the task is tested by an individual test run. A Continuous Test monitors a currently promoted model over time by continuously testing that model.

Properties

Name	Type	Description	Notes
id	ID		[optional]
name	str		[optional]
description	str		[optional]
use_case	str		[optional]
ethical_consideration	str		[optional]
creation_time	datetime		[optional]
owner_id	ID		[optional]
workspace_id	ID		[optional]
model_task	ModelTask		[optional] [default to ModelTask.UNSPECIFIED]
tags	List[str]	List of tags associated with the Project to help organizing Projects.	[optional]
firewall_ids	List[ID]	List of Firewall IDs that belong to the Project.	[optional]
project_test_suite_config	TestSuiteConfig		[optional]
profiling_config	ProfilingConfig		[optional]
run_time_info	RunTimeInfo		[optional]
is_published	bool	Published projects are shown on the Workspace overview page.	[optional]
last_test_run_time	datetime	Last time a Test Run was successfully uploaded to the Project.	[optional]
stress_test_categories	List[TestCategoryType]	List of test categories to be run in Stress Testing.	[optional]
continuous_test_categories	List[TestCategoryType]	List of test categories to be run in Continuous Testing.	[optional]
risk_scores	List[RiskScore]		[optional]
active_schedule	ScheduleInfo		[optional]

Example

from ri.apiclient.models.project import Project

# TODO update the JSON string below
json = "{}"
# create an instance of Project from a JSON string
project_instance = Project.from_json(json)
# print the JSON string representation of the object
print(Project.to_json())

# convert the object into a dict
project_dict = project_instance.to_dict()
# create an instance of Project from a dict
project_from_dict = Project.from_dict(project_dict)

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