| 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 Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:
[detail level 1 2 3 4 5]

▼C gdayf.handlers.inputhandler.inputHandler |
C gdayf.handlers.inputhandler.inputHandlerCSV |
▼C list |
C gdayf.common.storagemetadata.StorageMetadata | Class storage metadata format [{value: , fstype:['localfs', 'hdfs', 'mongoDB'], hash_value : "", hash_type: ['MD5','SHA256']
C gdayf.models.atypesmetadata.ATypesMetadata | Generate OrderedDict() from analysis types accepted returning the structure to be added on ModelMetadata
▼C object |
C gdayf.common.dataload.DataLoad |
C gdayf.conf.loadconfig.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 gdayf.conf.loadconfig.LoadLabels | Class Getting the config file place on default location and load all labels named self._config on OrderedDict() format
▼C gdayf.core.adviserbase.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
C gdayf.core.adviserastar.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
C gdayf.core.controller.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
C gdayf.core.experiment_context.Experiment_Context |
C gdayf.handlers.h2ohandler.H2OHandler |
C gdayf.handlers.sparkhandler.sparkHandler |
C gdayf.logs.logshandler.LogsHandler | Class oriented to manage all messages and interaction with DayF product logs
C gdayf.models.h2oframeworkmetadata.H2OFrameworkMetadata | Generate Framework base Class and base members Initialize ['h2o'] to list()
▼C gdayf.models.modelmetadata.ModelMetadata | Generate Model base Class and base members
C gdayf.models.h2omodelmetadata.H2OModelMetadata | Generate H2O Model base Class and initialize base members
C gdayf.models.sparkmodelmetadata.sparkModelMetadata | Generate spark Model base Class and initialize base members
C gdayf.models.sparkframeworkmetadata.sparkFrameworkMetadata | Generate Framework base Class and base members Initialize ['spark'] to list()
C gdayf.normalizer.normalizer.Normalizer | Class oriented to manage normalizations on dataframes for improvements on accuracy
C gdayf.optimizers.h2o_optimizer.Optimizer |
C gdayf.optimizers.spark_optimizer.Optimizer |
C gdayf.persistence.persistencehandler.PersistenceHandler | Class to manage trasient information between all persistence options and models on an unified way
C gdayf.workflow.workflow.Workflow | Core class oriented to manage pipeline of workflows execution orchestrating the execution of actions activities
▼C OrderedDict |
C gdayf.common.armetadata.ArMetadata | Class ArMetadata manage the Analysis results structs on OrderedDict format and exportable to json
C gdayf.common.dfmetada.DFMetada | Class DFMetadata manage the Data Analysis results structs on OrderedDict format and exportable to json
C gdayf.common.normalizationset.NormalizationSet | Class NormalizationSet manage the Normalizations metadata as OrderedDict supporting Normalizer Class methods and actions
C gdayf.metrics.executionmetriccollection.ExecutionMetricCollection |
▼C gdayf.metrics.metricmetadata.MetricMetadata | Class Base for metricts as OrderedDict
▼C gdayf.metrics.binomialmetricmetadata.BinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
C gdayf.handler_metrics.h2obinomialmetricmetadata.H2OBinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
C gdayf.handler_metrics.sparkbinomialmetricmetadata.SparkBinomialMetricMetadata | Class Base for Binomial metricts as OrderedDict
▼C gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata |
C gdayf.handler_metrics.h2oclusteringmetricmetadata.H2OClusteringMetricMetadata |
C gdayf.handler_metrics.sparkclusteringmetricmetadata.SparkClusteringMetricMetadata | Class Base for Clustering metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼C gdayf.metrics.multinomialmetricmetadata.MultinomialMetricMetadata |
C gdayf.handler_metrics.h2omultinomialmetricmetadata.H2OMultinomialMetricMetadata |
C gdayf.handler_metrics.sparkmultinomialmetricmetadata.SparkMultinomialMetricMetadata |
▼C gdayf.metrics.regressionmetricmetadata.RegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼C gdayf.handler_metrics.h2oregressionmetricmetadata.H2ORegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
C gdayf.handler_metrics.h2oanomaliesmetricmetadata.H2OAnomaliesMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
C gdayf.handler_metrics.sparkregressionmetricmetadata.SparkRegressionMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼C gdayf.metrics.anomaliesmetricmetadata.AnomaliesMetricMetadata |
C gdayf.handler_metrics.sparkanomaliesmetricmetadata.SparkAnomaliesMetricMetadata | Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
C gdayf.models.frameworkmetadata.FrameworkMetadata | Generate Framework base Class and base members
C gdayf.models.parametersmetadata.ParameterMetadata | Class Parameter metadata