gdayf.models.sparkmodelmetadata Namespace Reference

Define Base Model for sparkFramework on an unified way. More...

Classes
class	sparkModelMetadata
	Generate spark Model base Class and initialize base members. More...

Variables
	m = sparkModelMetadata()
list	models
list	amodes = [POC, NORMAL]
list	atypes
	modelbase = sparkModelMetadata()

Detailed Description

Define Base Model for sparkFramework on an unified way.

Base for all Models

Variable Documentation

atypes

list gdayf.models.sparkmodelmetadata.atypes

Initial value:

=  [
                [
                    {
                      "type": "binomial",
                      "active": True,
                      "valued": "enum"
                    }
                  ],
                [
                    {
                        "type": "multinomial",
                        "active": True,
                        "valued": "enum"
                    }
                ],
                [
                    {
                        "type": "regression",
                        "active": True,
                        "valued": "float64"
                    }
                ]
    ]

Definition at line 106 of file sparkmodelmetadata.py.

models

list gdayf.models.sparkmodelmetadata.models

Initial value:

=  ['sparkDeepLearningEstimator', 'sparkGradientBoostingEstimator',
              'sparkGeneralizedLinearEstimator', 'sparkRandomForestEstimator']

Definition at line 103 of file sparkmodelmetadata.py.