firelink package

Submodules

firelink.fire module

class firelink.fire.Firstflame

Bases: abc.ABC, sklearn.base.BaseEstimator, sklearn.base.TransformerMixin

Base Firstflame Class

fit(X, y=None)

Passing through

abstract transform(X, y=None)

abstract

firelink.logger module

Logging Module. Module which setsup the basic logging infrustrcuture for the application.

firelink.logger.get_logger(name=None, log_level=20)

Set the basic logging features for the application. :param name: The name of the logger. Defaults to None :type name: str, optional :param log_level: The logging level. Defaults to logging.INFO :type log_level: int, optional

Returns

Returns a Logger obejct which is set with the passed in paramters.

Return type

logging.Logger

firelink.pipeline module

class firelink.pipeline.FirePipeline(steps)

Bases: sklearn.pipeline.Pipeline

wrapper of sklearn pipeline

classmethod link_fire(file)

load pickled file

save_fire(file, file_type='ember')

steps: List[Any]

firelink.replace module

class firelink.replace.ConditionalReplace(col, val, cond)

Bases: firelink.fire.Firstflame

conidtional statement

transform(X, y=None)

firelink.spark_transform module

class firelink.spark_transform.ConditionalMapping(col, new_col, val, fill, result)

Bases: firelink.fire.Firstflame

conditional mapping

transform(X, y=None)

abstract

class firelink.spark_transform.Select(col)

Bases: firelink.fire.Firstflame

select

transform(X, y=None)

abstract

class firelink.spark_transform.WithColumn(colname, col)

Bases: firelink.fire.Firstflame

with column

transform(X, y=None)

abstract

firelink.transform module

Module contents