2.1.1.3. InputResistance

class InputResistance(observation={'mean': None, 'std': None}, name='Input Resistance Test')

Bases: sciunit.tests.Test

Test the cell’s input resistance

Parameters

• score_type (<class 'sciunit.scores.complete.ZScore'>) –

• description (Test the cell's input resistance) –

• observation (typing.Dict[str, float]) –

• name (str) –

Attributes Summary

description

brief description of the test objective

Methods Summary

compute_score(observation, prediction[, verbose])	Generates a score given the observations provided in the constructor and the prediction generated by generate_prediction.
generate_prediction(model[, verbose])	Generate a prediction from a model using the required capabilities.
validate_observation(observation)	Validate the observation provided to the constructor.

Attributes Documentation

description = "Test the cell's input resistance"

brief description of the test objective

Methods Documentation

compute_score(observation, prediction, verbose=False)

Generates a score given the observations provided in the constructor and the prediction generated by generate_prediction.

Must generate a score of score_type. No default implementation.

Parameters

• observation (typing.Dict[str, float]) –

• prediction (float) –

• verbose (bool) –

Return type

sciunit.scores.complete.ZScore

generate_prediction(model, verbose=False)

Generate a prediction from a model using the required capabilities.

No default implementation.

Parameters

• model (sciunit.models.base.Model) –

• verbose (bool) –

Return type

float

validate_observation(observation)

Validate the observation provided to the constructor.

Raises an ObservationError if invalid.

Parameters

observation (typing.Dict[str, float]) –

Return type

None