Class Hierarchy

Go to the graphical class hierarchy

This inheritance list is sorted roughly, but not completely, alphabetically:

[detail level 12345]

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