astromlp package

Subpackages

astromlp.sdss package

Submodules

astromlp.api module

astromlp.galaxies module

class astromlp.galaxies.CherryPicked(model_store='./astromlp-models/model_store', helper=None)

Bases: astromlp.pipelines.MapReducePipeline

Pipeline for processing SDSS galaxy object and a infer a set of properties using an ensemble of models.

model_store

location of the astromlp-models model store, defaults to ./astromlp-models/model_store

Type: str

Returns: PipelineResult

class astromlp.galaxies.One2One(model_store='./astromlp-models/model_store', helper=None)

Bases: astromlp.pipelines.MapReducePipeline

Pipeline for processing SDSS galaxy object and a infer a set of properties using an ensemble of models.

model_store

location of the astromlp-models model store, detaults to ./astromlp-models/model_store

Type: str

Returns: PipelineResult

class astromlp.galaxies.Universal(model_store='./astromlp-models/model_store', helper=None)

Bases: astromlp.pipelines.MapReducePipeline

Pipeline for processing SDSS galaxy object and a infer a set of properties using an ensemble of models.

model_store

location of the astromlp-models model store, defaults to ./astromlp-models/model_store

Type: str

Returns: PipelineResult

astromlp.pipelines module

class astromlp.pipelines.MapReducePipeline(models, model_store='./astromlp-models/model_store', helper=None)

Bases: object

Base class for processing an object using a map-reduce approach.

models

dictionary of outputs, and ensemble of models per output

Type: object

model_store

location of the astromlp-models model store, defaults to ./astromlp-models/model_store

Type: str

process(objid)

class astromlp.pipelines.PipelineResult(result)

Bases: object

Class for storing the result of processing an object using a pipeline for processing SDSS galaxy object and a infer a set of properties using an ensemble of models.

result

location of the astromlp-models model store, defaults to ./astromlp-models/model_store

Type: object

to_json()

Module contents

pyastromlp init