gdayf.workflow.workflow.Workflow Class Reference

Core class oriented to manage pipeline of workflows execution orchestrating the execution of actions activities. More...

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Public Member Functions
def	__init__ (self, user_id='PoC_gDayF')
	Constructor.
def	workflow (self, datapath, workflow, prefix=None, remove_models=EACH_BEST)
	Method leading workflow executions. More...
def	train_workflow (self, datapath, wkey, workflow, prefix='main', remove_models=EACH_BEST)
	Method leading train workflow executions. More...
def	predict_workflow (self, datapath, wkey, workflow, prefix='main', workflow_id='default', remove_models=EACH_BEST)
	Method leading predict workflow executions. More...
def	check_path (self, datapath)
	Method managing dataset load from datapath: More...
def	storage_path (self, mode, filename, filetype)
	Method managing storage path. More...
def	replicate_file (self, mode, filename)
	Method replicate files from primery to others. More...

Public Attributes
	timestamp

Detailed Description

Core class oriented to manage pipeline of workflows execution orchestrating the execution of actions activities.

Definition at line 32 of file workflow.py.

Member Function Documentation

check_path()

def gdayf.workflow.workflow.Workflow.check_path	(		self,
			datapath
	)

Method managing dataset load from datapath:

Parameters

datapath

String Path indicating file to be analyzed or Dataframe

Returns

None, Dataframe if no load errors, Error Message/None if load errors

Definition at line 425 of file workflow.py.

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predict_workflow()

def gdayf.workflow.workflow.Workflow.predict_workflow	(		self,
			datapath,
			wkey,
			workflow,
			prefix = 'main',
			workflow_id = 'default',
			remove_models = EACH_BEST
	)

Method leading predict workflow executions.

Parameters

self	object pointer
e_c	experiment_configuration
datapath	String Path indicating file to be analyzed or Dataframe
wkey	Step name
workflow	String Path indicating test workflow definition path
remove_models	[BEST, BEST_3, EACH_BEST, ALL]
prefix	value

Definition at line 279 of file workflow.py.

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replicate_file()

def gdayf.workflow.workflow.Workflow.replicate_file	(		self,
			mode,
			filename
	)

Method replicate files from primery to others.

Parameters

mode	['train','predict']
filename	filename

Returns

None if no localfs primary path found . Abosulute path if true

Definition at line 479 of file workflow.py.

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storage_path()

def gdayf.workflow.workflow.Workflow.storage_path	(		self,
			mode,
			filename,
			filetype
	)

Method managing storage path.

Parameters

mode	['train','predict']
filename	filename
filetype	file type

Returns

None if no localfs primary path found . Abosulute path if true

Definition at line 446 of file workflow.py.

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train_workflow()

def gdayf.workflow.workflow.Workflow.train_workflow	(		self,
			datapath,
			wkey,
			workflow,
			prefix = 'main',
			remove_models = EACH_BEST
	)

Method leading train workflow executions.

Parameters

self	object pointer
datapath	String Path indicating file to be analyzed or Dataframe
wkey	Step name
workflow	String Path indicating train workflow definition path
prefix	value
remove_models	[BEST, BEST_3, EACH_BEST, ALL]

Definition at line 86 of file workflow.py.

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workflow()

def gdayf.workflow.workflow.Workflow.workflow	(		self,
			datapath,
			workflow,
			prefix = None,
			remove_models = EACH_BEST
	)

Method leading workflow executions.

Parameters

self	object pointer
e_c	experiment_configuration
datapath	String Path indicating file to be analyzed or Dataframe
workflow	String Path indicating train workflow definition path
remove_models	[BEST, BEST_3, EACH_BEST, ALL]
prefix	value

Definition at line 50 of file workflow.py.

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The documentation for this class was generated from the following file:

• D:/OneDrive/DayF/git/gdayf-core/src/gdayf/workflow/workflow.py