dacapo.blockwise.threshold_worker

Module Contents

Functions

cli(log_level)
start_worker(input_container, input_dataset, ...[, ...])
spawn_worker(input_array_identifier, ...[, threshold])	Spawn a worker to predict on a given dataset.

Attributes

logger
read_write_conflict
fit
path

dacapo.blockwise.threshold_worker.logger

dacapo.blockwise.threshold_worker.read_write_conflict: bool = False

dacapo.blockwise.threshold_worker.fit: str = 'valid'

dacapo.blockwise.threshold_worker.path

dacapo.blockwise.threshold_worker.cli(log_level)

dacapo.blockwise.threshold_worker.start_worker(input_container: pathlib.Path | str, input_dataset: str, output_container: pathlib.Path | str, output_dataset: str, threshold: float = 0.0)

dacapo.blockwise.threshold_worker.spawn_worker(input_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, threshold: float = 0.0)

Spawn a worker to predict on a given dataset.

Parameters:

• model (Model) – The model to use for prediction.

• raw_array (Array) – The raw data to predict on.

• prediction_array_identifier (LocalArrayIdentifier) – The identifier of the prediction array.