| DayF core 1.2.1.2 DayF (Decision at your Fingertips) is an AutoML freeware development framework that let developers works with Machine Learning models without any idea of AI, simply taking a csv dataset and the objective column

Classes | Variables
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:
1 = [
2 [
3 {
4 "type": "binomial",
5 "active": True,
6 "valued": "enum"
7 }
8 ],
9 [
10 {
11 "type": "multinomial",
12 "active": True,
13 "valued": "enum"
14 }
15 ],
16 [
17 {
18 "type": "regression",
19 "active": True,
20 "valued": "float64"
21 }
22 ]
23 ]

Definition at line 106 of file sparkmodelmetadata.py.

## ◆ models

list gdayf.models.sparkmodelmetadata.models

Initial value:
1 = ['sparkDeepLearningEstimator', 'sparkGradientBoostingEstimator',
2 'sparkGeneralizedLinearEstimator', 'sparkRandomForestEstimator']

Definition at line 103 of file sparkmodelmetadata.py.