Parameters ---------- automl : AutoML The fitted automl object to test Expects ------- * The ensemble should not be

Makes sure include and exclude arguments are validated and raises expected exception on error

Makes sure that init params is properly passed to nodes Also, makes sure that _check_init_params_honored raises the expected excepti

Parameters ---------- disable_evaluator_output : Iterable[str] An iterator of invalid options Expects ------- * Shou

Test for the properties of classifier components Expects ------- * All required properties are stated in class `get_propertie

Expects ------- * We expect runs with an num_run (id) of 1 to be a dummy

Expects ------- * A LocalDask should create new dask clusters at each context usage

Expects ------- * Should give a loss of np.inf if run has no predictions of a given kind

Expects ------- * Should give a loss < np.inf if the predictions exist

Fitting twice with the same config gives the same model params. This is only valid when the random_state passed is an int. If a Rando

Fitting twice with the same config gives the same model params. This is only valid when the random_state passed is an int. If a Rando

Test non-seeded configurations for multi-label data Expects ------- * All configurations should fit, predict and predict_prob

Parameters ---------- automl : AutoML A fitted automl object with ensemble size specified as 0 Expects ------- * Aut

Parameters ---------- automl : AutoML The automl object with no ensemble size to test Expects ------- * Show models

This test makes sure that we can actually pass new categories to the estimator without throwing an error

Expects ------- * With no logger, any warning emitted by a model goes to standard out

Fixtures -------- mock_logger : PicklableClientLogger A mock logger that can be queried for call counts Expects -------

We expect this does not get parsed and modified until it gets to the AutoML class, In the meantime, it's value remains whatever was passed in.

Parameters ---------- dataset_compression: Union[bool, Dict] The dataset_compression arg used expected: Optional[Dict]

Expects ------- * The given paths should exist after the automl has been run and fitted

Expects ------- * The given paths for an automl with an ensemble should include paths specific to ensemble building