| 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

Packages
Here are the packages with brief descriptions (if available):
[detail level 1 2 3]

▼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
N data_load | Define all objects, functions and structured related to Data input for testing proposed
N dfmetada | Define all objects, functions and structured related to Data Analysis of input data on OrderedDict format
N storagemetadata | Define all objects, functions and structured related to adding storage information metadata (json structure) on list[OrderedDict] format
N utils | Define all objects, functions and structs related to common utilities not associated to one concrete object and able to be reused on whole context
▼N conf |
N loadconfig | Define all objects, functions and structs related to load on system all configuration parameter from config.json
▼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
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
N controller | Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users
N experiment_context | Define all global objects, functions and structs related with an specific experiment
▼N handler_metrics |
N h2oanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
N h2obinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N h2oclusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
N h2omultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N h2oregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
N sparkanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
N sparkbinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N sparkclusteringmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
N sparkmultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N sparkregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
▼N handlers |
N h2ohandler | Define all objects, functions and structures related to executing actions or activities over h2o.ai framework
N kerastensorflowhandler |
N sparkhandler | Define all objects, functions and structures related to executing actions or activities over spark.ai framework
▼N logs |
N logshandler | Define all objects, functions and structures related to logging event on DayF product logs
▼N metrics |
N anomaliesmetricmetadata | Define Regression Anomalies Metric object as OrderedDict() of common measures for all frameworks on an unified way
N binomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N clusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way
N executionmetriccollection | Define common execution base structure as OrderedDict() of common datasets on an unified way
N metricmetadata | Define Base Metric object as OrderedDict() of common measures for all metrics types on an unified way
N multinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way
N regressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way
▼N models |
N atypesmetadata | Define Analysis Types for DayF product on an unified way
N frameworkmetadata | Define Base Framework methods and members on an unified way
N h2oframeworkmetadata | Define Base H2OFramework methods and members on an unified way
N h2omodelmetadata | Define Base Model for H2OFramework on an unified way
N modelmetadata | Define Base Model methods and members on an unified way
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
N sparkframeworkmetadata | Define Base sparkFramework methods and members on an unified way
N sparkmodelmetadata | Define Base Model for sparkFramework on an unified way
▼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
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
▼N persistence |
N persistencehandler | Define all objects, functions and structures related to physically store information on persistence system 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