| 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

Class List
Here are the classes, structs, unions and interfaces with brief descriptions:
[detail level 1 2 3 4]

▼N gdayf |
▼N common |
►N armetadata | Define all objects, functions and structured related to Analysis_Results for one execution (final json structure) on OrderedDict format
C ArMetadata | Class ArMetadata manage the Analysis results structs on OrderedDict format and exportable to json
►N dataload |
C DataLoad |
►N dfmetada | Define all objects, functions and structured related to Data Analysis of input data on OrderedDict format
C DFMetada | Class DFMetadata manage the Data Analysis results structs on OrderedDict format and exportable to json
►N normalizationset |
C NormalizationSet | Class NormalizationSet manage the Normalizations metadata as OrderedDict supporting Normalizer Class methods and actions
►N storagemetadata | Define all objects, functions and structured related to adding storage information metadata (json structure) on list[OrderedDict] format
C StorageMetadata | Class storage metadata format [{value: , fstype:['localfs', 'hdfs', 'mongoDB'], hash_value : "", hash_type: ['MD5','SHA256']
▼N conf |
►N loadconfig | Define all objects, functions and structs related to load on system all configuration parameter from config.json
C LoadConfig | Class Getting the config file place on default location and load all parameters on an internal variables named self._config on OrderedDict() format
C LoadLabels | Class Getting the config file place on default location and load all labels named self._config on OrderedDict() format
▼N core |
►N adviserastar | Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic Main class AdviserAStarAvg
C AdviserAStar | Class focused on execute A* based analysis on three modalities of working Fast: 1 level analysis over default parameters Normal: One A* analysis for all models based until max_deep with early_stopping Paranoiac: One A* algorithm per model analysis until max_deep without early stoping
►N adviserbase | Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic Main class Adviser
C Adviser | Class focused on execute A* based analysis on three modalities of working Fast: 1 level analysis over default parameters Normal: One A* analysis for all models based until max_deep with early_stopping Paranoiac: One A* algorithm per model analysis until max_deep without early stoping
►N controller | Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users
C Controller | Core class oriented to manage the comunication and execution messages pass for all components on system orchestrating the execution of actions activities (train and prediction) on specific frameworks
►N experiment_context | Define all global objects, functions and structs related with an specific experiment
C Experiment_Context |
▼N handler_metrics |
►N h2oanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C H2OAnomaliesMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►N h2obinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C H2OBinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
►N h2oclusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
C H2OClusteringMetricMetadata |
►N h2omultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C H2OMultinomialMetricMetadata |
►N h2oregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C H2ORegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►N sparkanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C SparkAnomaliesMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►N sparkbinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C SparkBinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
►N sparkclusteringmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C SparkClusteringMetricMetadata | Class Base for Clustering metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►N sparkmultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C SparkMultinomialMetricMetadata |
►N sparkregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C SparkRegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼N handlers |
►N h2ohandler | Define all objects, functions and structures related to executing actions or activities over h2o.ai framework
C H2OHandler |
►N inputhandler |
C inputHandler |
C inputHandlerCSV |
►N sparkhandler | Define all objects, functions and structures related to executing actions or activities over spark.ai framework
C sparkHandler |
▼N logs |
►N logshandler | Define all objects, functions and structures related to logging event on DayF product logs
C LogsHandler | Class oriented to manage all messages and interaction with DayF product logs
▼N metrics |
►N anomaliesmetricmetadata | Define Regression Anomalies Metric object as OrderedDict() of common measures for all frameworks on an unified way
C AnomaliesMetricMetadata |
►N binomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C BinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
►N clusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
C ClusteringMetricMetadata |
►N executionmetriccollection | Define common execution base structure as OrderedDict() of common datasets on an unified way
C ExecutionMetricCollection |
►N metricmetadata | Define Base Metric object as OrderedDict() of common measures for all metrics types on an unified way
C MetricMetadata | Class Base for metricts as OrderedDict
►N multinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
C MultinomialMetricMetadata |
►N regressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
C RegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼N models |
►N atypesmetadata | Define Analysis Types for DayF product on an unified way
C ATypesMetadata | Generate OrderedDict() from analysis types accepted returning the structure to be added on ModelMetadata
►N frameworkmetadata | Define Base Framework methods and members on an unified way
C FrameworkMetadata | Generate Framework base Class and base members
►N h2oframeworkmetadata | Define Base H2OFramework methods and members on an unified way
C H2OFrameworkMetadata | Generate Framework base Class and base members Initialize ['h2o'] to list()
►N h2omodelmetadata | Define Base Model for H2OFramework on an unified way
C H2OModelMetadata | Generate H2O Model base Class and initialize base members
►N modelmetadata | Define Base Model methods and members on an unified way
C ModelMetadata | Generate Model base Class and base members
►N parametersmetadata | Define all objects, functions and structured related to manage Model Parameters Structure: OrderedDict(): value : Seleccionable: boolean Type: Internal structure and restriction over value as reference
C ParameterMetadata | Class Parameter metadata
►N sparkframeworkmetadata | Define Base sparkFramework methods and members on an unified way
C sparkFrameworkMetadata | Generate Framework base Class and base members Initialize ['spark'] to list()
►N sparkmodelmetadata | Define Base Model for sparkFramework on an unified way
C sparkModelMetadata | Generate spark Model base Class and initialize base members
▼N normalizer |
►N normalizer |
C Normalizer | Class oriented to manage normalizations on dataframes for improvements on accuracy
▼N optimizers |
►N h2o_optimizer | Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic for H2O.ai framework Main class AdviserAStarAvg
C Optimizer |
►N spark_optimizer | Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic for H2O.ai framework Main class AdviserAStarAvg
C Optimizer |
▼N persistence |
►N persistencehandler | Define all objects, functions and structures related to physically store information on persistence system on an unified way
C PersistenceHandler | Class to manage trasient information between all persistence options and models on an unified way
▼N workflow |
►N workflow | Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users
C Workflow | Core class oriented to manage pipeline of workflows execution orchestrating the execution of actions activities