Class List

Here are the classes, structs, unions and interfaces with brief descriptions:

[detail level 1234]

▼Ngdayf
▼Ncommon
►Narmetadata	Define all objects, functions and structured related to Analysis_Results for one execution (final json structure) on OrderedDict format
CArMetadata	Class ArMetadata manage the Analysis results structs on OrderedDict format and exportable to json
►Ndataload
CDataLoad
►Ndfmetada	Define all objects, functions and structured related to Data Analysis of input data on OrderedDict format
CDFMetada	Class DFMetadata manage the Data Analysis results structs on OrderedDict format and exportable to json
►Nnormalizationset
CNormalizationSet	Class NormalizationSet manage the Normalizations metadata as OrderedDict supporting Normalizer Class methods and actions
►Nstoragemetadata	Define all objects, functions and structured related to adding storage information metadata (json structure) on list[OrderedDict] format
CStorageMetadata	Class storage metadata format [{value: , fstype:['localfs', 'hdfs', 'mongoDB'], hash_value : "", hash_type: ['MD5','SHA256']
▼Nconf
►Nloadconfig	Define all objects, functions and structs related to load on system all configuration parameter from config.json
CLoadConfig	Class Getting the config file place on default location and load all parameters on an internal variables named self._config on OrderedDict() format
CLoadLabels	Class Getting the config file place on default location and load all labels named self._config on OrderedDict() format
▼Ncore
►Nadviserastar	Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic Main class AdviserAStarAvg
CAdviserAStar	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
►Nadviserbase	Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic Main class Adviser
CAdviser	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
►Ncontroller	Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users
CController	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
►Nexperiment_context	Define all global objects, functions and structs related with an specific experiment
CExperiment_Context
▼Nhandler_metrics
►Nh2oanomaliesmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CH2OAnomaliesMetricMetadata	Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►Nh2obinomialmetricmetadata	Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CH2OBinomialMetricMetadata	Class Base for Binomial metricts as OrderedDict
►Nh2oclusteringmetricmetadata	Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
CH2OClusteringMetricMetadata
►Nh2omultinomialmetricmetadata	Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CH2OMultinomialMetricMetadata
►Nh2oregressionmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CH2ORegressionMetricMetadata	Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►Nsparkanomaliesmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CSparkAnomaliesMetricMetadata	Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►Nsparkbinomialmetricmetadata	Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CSparkBinomialMetricMetadata	Class Base for Binomial metricts as OrderedDict
►Nsparkclusteringmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CSparkClusteringMetricMetadata	Class Base for Clustering metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
►Nsparkmultinomialmetricmetadata	Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CSparkMultinomialMetricMetadata
►Nsparkregressionmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CSparkRegressionMetricMetadata	Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼Nhandlers
►Nh2ohandler	Define all objects, functions and structures related to executing actions or activities over h2o.ai framework
CH2OHandler
►Ninputhandler
CinputHandler
CinputHandlerCSV
►Nsparkhandler	Define all objects, functions and structures related to executing actions or activities over spark.ai framework
CsparkHandler
▼Nlogs
►Nlogshandler	Define all objects, functions and structures related to logging event on DayF product logs
CLogsHandler	Class oriented to manage all messages and interaction with DayF product logs
▼Nmetrics
►Nanomaliesmetricmetadata	Define Regression Anomalies Metric object as OrderedDict() of common measures for all frameworks on an unified way
CAnomaliesMetricMetadata
►Nbinomialmetricmetadata	Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CBinomialMetricMetadata	Class Base for Binomial metricts as OrderedDict
►Nclusteringmetricmetadata	Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
CClusteringMetricMetadata
►Nexecutionmetriccollection	Define common execution base structure as OrderedDict() of common datasets on an unified way
CExecutionMetricCollection
►Nmetricmetadata	Define Base Metric object as OrderedDict() of common measures for all metrics types on an unified way
CMetricMetadata	Class Base for metricts as OrderedDict
►Nmultinomialmetricmetadata	Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
CMultinomialMetricMetadata
►Nregressionmetricmetadata	Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
CRegressionMetricMetadata	Class Base for Regression metricts as OrderedDict Base Metrics for Regression [No expanded metrics]
▼Nmodels
►Natypesmetadata	Define Analysis Types for DayF product on an unified way
CATypesMetadata	Generate OrderedDict() from analysis types accepted returning the structure to be added on ModelMetadata
►Nframeworkmetadata	Define Base Framework methods and members on an unified way
CFrameworkMetadata	Generate Framework base Class and base members
►Nh2oframeworkmetadata	Define Base H2OFramework methods and members on an unified way
CH2OFrameworkMetadata	Generate Framework base Class and base members Initialize ['h2o'] to list()
►Nh2omodelmetadata	Define Base Model for H2OFramework on an unified way
CH2OModelMetadata	Generate H2O Model base Class and initialize base members
►Nmodelmetadata	Define Base Model methods and members on an unified way
CModelMetadata	Generate Model base Class and base members
►Nparametersmetadata	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
CParameterMetadata	Class Parameter metadata
►Nsparkframeworkmetadata	Define Base sparkFramework methods and members on an unified way
CsparkFrameworkMetadata	Generate Framework base Class and base members Initialize ['spark'] to list()
►Nsparkmodelmetadata	Define Base Model for sparkFramework on an unified way
CsparkModelMetadata	Generate spark Model base Class and initialize base members
▼Nnormalizer
►Nnormalizer
CNormalizer	Class oriented to manage normalizations on dataframes for improvements on accuracy
▼Noptimizers
►Nh2o_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
COptimizer
►Nspark_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
COptimizer
▼Npersistence
►Npersistencehandler	Define all objects, functions and structures related to physically store information on persistence system on an unified way
CPersistenceHandler	Class to manage trasient information between all persistence options and models on an unified way
▼Nworkflow
►Nworkflow	Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users
CWorkflow	Core class oriented to manage pipeline of workflows execution orchestrating the execution of actions activities