| 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

Here is a list of all documented class members with links to the class documentation for each member:

### - s -

- safe_append() : gdayf.core.adviserbase.Adviser
- save_models() : gdayf.core.controller.Controller
- set_aggregation() : gdayf.common.normalizationset.NormalizationSet
- set_base() : gdayf.common.normalizationset.NormalizationSet
- set_discretize() : gdayf.common.normalizationset.NormalizationSet
- set_drop_missing() : gdayf.common.normalizationset.NormalizationSet
- set_fixed_missing_values() : gdayf.common.normalizationset.NormalizationSet
- set_h2ometrics() : gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata
- set_id_analysis() : gdayf.core.experiment_context.Experiment_Context
- set_id_user() : gdayf.core.experiment_context.Experiment_Context
- set_id_workflow() : gdayf.core.experiment_context.Experiment_Context
- set_ignore_column() : gdayf.common.normalizationset.NormalizationSet
- set_mean_missing_values() : gdayf.common.normalizationset.NormalizationSet
- set_metrics() : gdayf.handler_metrics.h2obinomialmetricmetadata.H2OBinomialMetricMetadata , gdayf.handler_metrics.h2oclusteringmetricmetadata.H2OClusteringMetricMetadata , gdayf.handler_metrics.h2omultinomialmetricmetadata.H2OMultinomialMetricMetadata , gdayf.handler_metrics.h2oregressionmetricmetadata.H2ORegressionMetricMetadata , gdayf.handler_metrics.sparkbinomialmetricmetadata.SparkBinomialMetricMetadata , gdayf.handler_metrics.sparkclusteringmetricmetadata.SparkClusteringMetricMetadata , gdayf.handler_metrics.sparkmultinomialmetricmetadata.SparkMultinomialMetricMetadata , gdayf.handler_metrics.sparkregressionmetricmetadata.SparkRegressionMetricMetadata
- set_offset() : gdayf.common.normalizationset.NormalizationSet
- set_precision() : gdayf.handler_metrics.h2obinomialmetricmetadata.H2OBinomialMetricMetadata , gdayf.metrics.binomialmetricmetadata.BinomialMetricMetadata , gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata , gdayf.metrics.multinomialmetricmetadata.MultinomialMetricMetadata , gdayf.metrics.regressionmetricmetadata.RegressionMetricMetadata
- set_progressive_missing_values() : gdayf.common.normalizationset.NormalizationSet
- set_recommendations() : gdayf.core.adviserbase.Adviser
- set_seleccionable() : gdayf.models.parametersmetadata.ParameterMetadata
- set_sparkmetrics() : gdayf.metrics.clusteringmetricmetadata.ClusteringMetricMetadata
- set_stdmean() : gdayf.common.normalizationset.NormalizationSet
- set_value() : gdayf.models.parametersmetadata.ParameterMetadata
- set_working_range() : gdayf.common.normalizationset.NormalizationSet
- shutdown_cluster() : gdayf.handlers.h2ohandler.H2OHandler , gdayf.handlers.sparkhandler.sparkHandler
- storage_path() : gdayf.workflow.workflow.Workflow
- store_file() : gdayf.persistence.persistencehandler.PersistenceHandler
- store_json() : gdayf.persistence.persistencehandler.PersistenceHandler
- store_model() : gdayf.handlers.h2ohandler.H2OHandler , gdayf.handlers.sparkhandler.sparkHandler