opendataval.dataval.RandomEvaluator

class opendataval.dataval.RandomEvaluator(*args, **kwargs)

Completely Random DataEvaluator for baseline comparison purposes.

Generates Random data values from Uniform[0.0, 1.0].

Parameters

random_stateRandomState, optional

Random initial state, by default None

__init__(random_state: RandomState | None = None)

Methods

__init__([random_state])
evaluate_data_values()	Return random data values for each training data point.
input_data(x_train, y_train, x_valid, y_valid)	Store and transform input data for DataEvaluator.
input_fetcher(fetcher)	Input data from a DataFetcher object.
setup(fetcher[, pred_model, metric])	Inputs model, metric and data into Data Evaluator.
train(fetcher[, pred_model, metric])	Store and transform data, then train model to predict data values.
train_data_values(*args, **kwargs)	RandomEval does not train to find the data values.

Attributes

Evaluators
data_values	Cached data values.