conmo.experiment.Pipeline

class conmo.experiment.Pipeline(dataset: Dataset, splitter: Optional[Splitter], preprocesses: Optional[Iterable[Preprocess]], algorithms: Iterable[Algorithm], metrics: Iterable[Metric])[source]

__init__(dataset: Dataset, splitter: Optional[Splitter], preprocesses: Optional[Iterable[Preprocess]], algorithms: Iterable[Algorithm], metrics: Iterable[Metric]) → None[source]

generate_dirs(pipe_dir: str) → None[source]

Auxiliary method to generate directories for each of the steps in the current pipeline.

Parameters

pipe_dir (str) – Name of the pipe directory.

run(pipe_dir: str, pipe_num: int, pipes: int) → None[source]

Contains all the logic for the execution of a particular pipeline, creating intermediate directories for data passing and executing the relevant methods for each step.

Parameters

pipe_dir (str) – Name of the current pipeline directory.

pipe_num (int) – Index of the current pipelines.

pipes (int) – Total number of pipelines in the current experiment.

Methods

`__init__`(dataset, splitter, preprocesses, ...)
`generate_dirs`(pipe_dir)	Auxiliary method to generate directories for each of the steps in the current pipeline.
`run`(pipe_dir, pipe_num, pipes)	Contains all the logic for the execution of a particular pipeline, creating intermediate directories for data passing and executing the relevant methods for each step.

Attributes

`ALGORITHMS_FOLDER`
`DATASET_FOLDER`
`METRICS_FOLDER`
`PREPROCESSES_FOLDER`
`SPLITTER_FOLDER`