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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
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| ▼Ngdayf | |
| ▼Ncommon | |
| Narmetadata | Define all objects, functions and structured related to Analysis_Results for one execution (final json structure) on OrderedDict format |
| Ndata_load | Define all objects, functions and structured related to Data input for testing proposed |
| Ndfmetada | Define all objects, functions and structured related to Data Analysis of input data on OrderedDict format |
| Nstoragemetadata | Define all objects, functions and structured related to adding storage information metadata (json structure) on list[OrderedDict] format |
| Nutils | Define all objects, functions and structs related to common utilities not associated to one concrete object and able to be reused on whole context |
| ▼Nconf | |
| Nloadconfig | Define all objects, functions and structs related to load on system all configuration parameter from config.json |
| ▼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 |
| Nadviserbase | Define all objects, functions and structured related to manage and execute Smart analysis based on A* Algorithm and defined heuristic Main class Adviser |
| Ncontroller | Define all objects, functions and structured related to manage and execute actions over DayF core and expose API to users |
| Nexperiment_context | Define all global objects, functions and structs related with an specific experiment |
| ▼Nhandler_metrics | |
| Nh2oanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nh2obinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nh2oclusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nh2omultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nh2oregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nsparkanomaliesmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nsparkbinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nsparkclusteringmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nsparkmultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nsparkregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| ▼Nhandlers | |
| Nh2ohandler | Define all objects, functions and structures related to executing actions or activities over h2o.ai framework |
| Nkerastensorflowhandler | |
| Nsparkhandler | Define all objects, functions and structures related to executing actions or activities over spark.ai framework |
| ▼Nlogs | |
| Nlogshandler | Define all objects, functions and structures related to logging event on DayF product logs |
| ▼Nmetrics | |
| Nanomaliesmetricmetadata | Define Regression Anomalies Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nbinomialmetricmetadata | Define Binomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nclusteringmetricmetadata | Define Clustering Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nexecutionmetriccollection | Define common execution base structure as OrderedDict() of common datasets on an unified way |
| Nmetricmetadata | Define Base Metric object as OrderedDict() of common measures for all metrics types on an unified way |
| Nmultinomialmetricmetadata | Define Multinomial Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| Nregressionmetricmetadata | Define Regression Metric object as OrderedDict() of common measures for all frameworks on an unified way |
| ▼Nmodels | |
| Natypesmetadata | Define Analysis Types for DayF product on an unified way |
| Nframeworkmetadata | Define Base Framework methods and members on an unified way |
| Nh2oframeworkmetadata | Define Base H2OFramework methods and members on an unified way |
| Nh2omodelmetadata | Define Base Model for H2OFramework on an unified way |
| Nmodelmetadata | Define Base Model methods and members on an unified way |
| 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 |
| Nsparkframeworkmetadata | Define Base sparkFramework methods and members on an unified way |
| Nsparkmodelmetadata | Define Base Model for sparkFramework on an unified way |
| ▼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 |
| 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 |
| ▼Npersistence | |
| Npersistencehandler | Define all objects, functions and structures related to physically store information on persistence system 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 |
1.8.13