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
constants.py
1 
2 
3 '''
4 Copyright (C) e2its - All Rights Reserved
5  * Unauthorized copying of this file, via any medium is strictly prohibited
6  * Proprietary and confidential
7  *
8  * This file is part of gDayF project.
9  *
10  * Written by Jose L. Sanchez <e2its.es@gmail.com>, 2016-2019
11 '''
12 
13 POC = 0
14 FAST = 1
15 NORMAL = 2
16 FAST_PARANOIAC = 3
17 PARANOIAC = 4
18 ANOMALIES = 5
19 CLUSTERING = 6
20 BEST = 0
21 BEST_3 = 1
22 EACH_BEST = 2
23 ALL = 3
24 NONE = -1
25 DTYPES = ['int', 'float', 'int16', 'int32', 'int64', 'float16', 'float32', 'float64']
26 FTYPES = ['float', 'float16', 'float32', 'float64']
27 ITYPES = ['int', 'int16', 'int32', 'int64']
28 METRICS_TYPES = ['train_accuracy', 'test_accuracy', 'combined_accuracy', 'train_rmse', 'test_rmse', 'cdistance',
29  'train_r2', 'test_r2']
30 ACCURACY_METRICS = ['train_accuracy', 'test_accuracy', 'combined_accuracy']
31 REGRESSION_METRICS = ['train_rmse', 'test_rmse', 'train_r2', 'test_r2']
32 CLUSTERING_METRICS = ['cdistance']
33 NO_STANDARDIZE = ['']
34 #NO_STANDARDIZE = ['H2ORandomForestEstimator', 'H2OGradientBoostingEstimator', '']
35 cdistance= 'cdistance'
36 train_accuracy = 'train_accuracy'
37 test_accuracy = 'test_accuracy'
38 combined_accuracy = 'combined_accuracy'
39 train_rmse = 'train_rmse'
40 test_rmse = 'test_rmse'
41 train_r2 = 'train_rmse'
42 test_r2 = 'test_rmse'
43 atypes = ['binomial', 'multinomial', 'regression']
Generated by   doxygen 1.8.13