openlayer.OpenlayerClient.create_project#

OpenlayerClient.create_project(name, task_type, description=None)#

Creates a project on the Openlayer platform.

Parameters

namestr: Name of your project.

Important

The project name must be unique in a user’s collection of projects.
task_typeTaskType: Type of ML task. E.g. TaskType.TabularClassification or TaskType.TextClassification.
descriptionstr: Project description.

Returns

Project: An object that is used to add models and datasets to the Openlayer platform that also contains information about the project.

Examples

Instantiate the client and create the project:

>>> import openlayer
>>> client = openlayer.OpenlayerClient('YOUR_API_KEY_HERE')
>>>
>>> from openlayer.tasks import TaskType
>>> project = client.create_project(
...     name="Churn prediction",
...     task_type=TaskType.TabularClassification,
...     description="My first error analysis playground",
... )

With the Project object created, you are able to start adding models and datasets to it. Refer to add_model and add_dataset or add_dataframe for detailed examples.

openlayer.OpenlayerClient.create_or_load_project

openlayer.OpenlayerClient.export