Index

A

add_constraint() (datastories.optimization.OptimizationSpecification method) add_note() (datastories.api.IStory method) (datastories.story.predict_single_kpi.Story method) add_objective() (datastories.optimization.OptimizationSpecification method)

as_index() (datastories.data.OutlierResult method) as_itemgetter() (datastories.data.OutlierResult method) assert_alive() (datastories.story.predict_single_kpi.Story method) AtLeast (class in datastories.optimization) AtMost (class in datastories.optimization)

C

calc_basic_stats() (datastories.data.ColumnStatistics method) CATEGORICAL (datastories.data.RangeType attribute) categories (datastories.model.VariableInfo attribute) ClassificationPlot (class in datastories.visualization) ClassificationPlotSettings (class in datastories.visualization) clear_note() (datastories.api.IStory method) (datastories.story.predict_single_kpi.Story method) clear_notes() (datastories.api.IStory method) (datastories.story.predict_single_kpi.Story method) clip_to_iqr() (datastories.data.OutlierResult method) cols() (datastories.data.DataFrame method) ColumnStatistics (class in datastories.data)

ColumnType (class in datastories.data) compute_outliers() (in module datastories.data) compute_prototypes() (in module datastories.correlation) compute_summary() (in module datastories.data) ConfusionMatrix (class in datastories.visualization) ConfusionMatrixSettings (class in datastories.visualization) constraints (datastories.optimization.OptimizationSpecification attribute) correlation_browser (datastories.story.predict_single_kpi.Story attribute) (datastories.story.predict_single_kpi.StoryRun attribute) CorrelationBrowser (class in datastories.visualization) CorrelationBrowserSettings (class in datastories.visualization) CorrelationInfo (class in datastories.correlation) create_optimizer() (in module datastories.optimization)

D

DataFrame (class in datastories.data) datastories.classification (module) datastories.correlation (module) datastories.data (module) datastories.display (module) datastories.license (module) datastories.model (module) datastories.optimization (module) datastories.optimization.OptimizationDirection (class in datastories.optimization) datastories.regression (module)

datastories.story (module) datastories.visualization (module) DataSummaryResult (class in datastories.data) DataSummaryTable (class in datastories.visualization) DataSummaryTableSettings (class in datastories.visualization) DataType (class in datastories.data) DATE (datastories.data.ColumnType attribute) (datastories.data.DataType attribute) default_license_path (datastories.license.LicenseManager attribute) drivers (datastories.visualization.WhatIfs attribute)

E

error_plot (datastories.model.SingleKpiPrediction attribute) (datastories.model.SingleKpiPredictor attribute)

ErrorPlot (class in datastories.visualization) ErrorPlotSettings (class in datastories.visualization) evaluate() (datastories.model.Model method)

F

FAR_OUTLIER_HIGH (datastories.api.OutlierType attribute) FAR_OUTLIER_LOW (datastories.api.OutlierType attribute)

feature_ranks (datastories.classification.FeatureRankResult attribute) FeatureRankResult (class in datastories.classification) from_pandas() (datastories.data.DataFrame static method)

G

get() (datastories.data.DataFrame method) get_activation_info() (in module datastories.api) get_feature_ranks() (datastories.classification.FeatureRankResult method)

get_progress_bar() (in module datastories.display) get_prototypes() (datastories.correlation.PrototypeResult method) get_type() (datastories.data.DataFrame method)

I

IAnalysisResult (class in datastories.api) increment() (datastories.display.ProgressCounter method) index (datastories.model.VariableInfo attribute) InInterval (class in datastories.optimization) init_graphics() (in module datastories.display) initialize() (datastories.license.LicenseManager method) inputs (datastories.model.Model attribute) INTEGER (datastories.data.ColumnType attribute) (datastories.data.DataType attribute) INTERVAL (datastories.data.RangeType attribute) IPrediction (class in datastories.api)

IPredictiveModel (class in datastories.api) IPredictiveStory (class in datastories.api) IProgressObserver (class in datastories.api) is_categorical (datastories.optimization.VariableRange attribute) is_complete (datastories.optimization.OptimizationResult attribute) is_feasible (datastories.optimization.OptimizationResult attribute) is_granted() (datastories.license.LicenseManager method) is_input (datastories.model.VariableInfo attribute) is_numeric (datastories.optimization.VariableRange attribute) is_ok() (datastories.license.LicenseManager method) IsEqual (class in datastories.optimization) IStory (class in datastories.api)

L

LicenseError (class in datastories.license.rlm) LicenseManager (class in datastories.license)

load() (datastories.api.IStory static method) (datastories.story.predict_single_kpi.Story static method) log() (datastories.display.ProgressReporter method)

M

make_independent() (datastories.story.predict_single_kpi.Story method) max (datastories.model.VariableInfo attribute) (datastories.optimization.VariableRange attribute) Maximize (class in datastories.optimization) maximize() (datastories.model.SingleKpiPredictor method) (datastories.optimization.pso.Optimizer method) (datastories.visualization.WhatIfs method) metric_map (datastories.classification.FeatureRankResult attribute) metrics (datastories.api.IPrediction attribute) (datastories.api.IPredictiveModel attribute) (datastories.api.IStory attribute) (datastories.data.OutlierResult attribute) (datastories.model.SingleKpiPrediction attribute) (datastories.model.SingleKpiPredictor attribute) (datastories.story.predict_single_kpi.Story attribute) (datastories.story.predict_single_kpi.StoryRun attribute)

min (datastories.model.VariableInfo attribute) (datastories.optimization.VariableRange attribute) Minimize (class in datastories.optimization) minimize() (datastories.model.SingleKpiPredictor method) (datastories.optimization.pso.Optimizer method) (datastories.visualization.WhatIfs method) MIXED (datastories.data.ColumnType attribute) Model (class in datastories.model) model (datastories.api.IPredictiveStory attribute) (datastories.story.predict_single_kpi.Story attribute) (datastories.story.predict_single_kpi.StoryRun attribute)

N

name() (datastories.data.DataFrame method) names() (datastories.data.DataFrame method) NO_OUTLIER (datastories.api.OutlierType attribute)

notes (datastories.api.IStory attribute) (datastories.story.predict_single_kpi.Story attribute) NUMERIC (datastories.data.ColumnType attribute) (datastories.data.DataType attribute)

O

objectives (datastories.optimization.OptimizationSpecification attribute) on_progress() (datastories.api.IProgressObserver method) (datastories.display.ProgressReporter method) OptimizationResult (class in datastories.optimization) OptimizationSpecification (class in datastories.optimization) optimize() (datastories.model.SingleKpiPredictor method) (datastories.optimization.pso.Optimizer method) Optimizer (class in datastories.optimization.pso) OptimizerType (class in datastories.optimization)

optimum (datastories.optimization.OptimizationResult attribute) ORDINAL (datastories.data.RangeType attribute) OUTLIER_HIGH (datastories.api.OutlierType attribute) OUTLIER_LOW (datastories.api.OutlierType attribute) OutlierPlotSettings (class in datastories.visualization) OutlierResult (class in datastories.data) OutlierType (class in datastories.api) OutlierXPlot (class in datastories.visualization) outputs (datastories.model.Model attribute)

P

plot() (datastories.api.IAnalysisResult method) (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataSummaryResult method) (datastories.data.OutlierResult method) (datastories.model.Model method) (datastories.model.SingleKpiPrediction method) (datastories.model.SingleKpiPredictor method) (datastories.story.predict_single_kpi.Story method) (datastories.visualization.ClassificationPlot method) (datastories.visualization.ConfusionMatrix method) (datastories.visualization.CorrelationBrowser method) (datastories.visualization.DataSummaryTable method) (datastories.visualization.ErrorPlot method) (datastories.visualization.OutlierXPlot method) (datastories.visualization.PredictedVsActual method) (datastories.visualization.WhatIfs method)

predict() (datastories.api.IPredictiveModel method) (datastories.model.SingleKpiPredictor method) predict_single_kpi() (in module datastories.story) PredictedVsActual (class in datastories.visualization) PredictedVsActualSettings (class in datastories.visualization) prepare_data_frame() (in module datastories.data) ProgressCounter (class in datastories.display) ProgressReporter (class in datastories.display) Prototype (class in datastories.correlation) PrototypeResult (class in datastories.correlation) prototypes (datastories.correlation.PrototypeResult attribute)

R

range_type (datastories.model.VariableInfo attribute) RangeType (class in datastories.data) rank_features() (in module datastories.classification) read_csv() (datastories.data.DataFrame static method) rebuild() (datastories.model.SingleKpiPredictor method) RegressionError (class in datastories.regression)

reinitialize() (datastories.license.LicenseManager method) release() (datastories.license.LicenseManager method) (datastories.story.predict_single_kpi.Story method) reset() (datastories.data.OutlierResult method) rows() (datastories.data.DataFrame method) run_overview (datastories.story.predict_single_kpi.Story attribute) runs (datastories.story.predict_single_kpi.Story attribute)

S

save() (datastories.api.IStory method) (datastories.model.Model method) (datastories.story.predict_single_kpi.Story method) select() (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataSummaryResult method) selected (datastories.classification.FeatureRankResult attribute) (datastories.correlation.PrototypeResult attribute) (datastories.data.DataSummaryResult attribute) set_float() (datastories.data.DataFrame method) set_int() (datastories.data.DataFrame method)

set_name() (datastories.data.DataFrame method) set_string() (datastories.data.DataFrame method) SingleKpiPrediction (class in datastories.model) SingleKpiPredictor (class in datastories.model) start() (datastories.display.ProgressCounter method) stop() (datastories.display.ProgressCounter method) Story (class in datastories.story.predict_single_kpi) StoryRun (class in datastories.story.predict_single_kpi) STRING (datastories.data.ColumnType attribute) (datastories.data.DataType attribute) Sum (class in datastories.optimization)

T

TableStatistics (class in datastories.data) to_cpp() (datastories.api.IPredictiveModel method) (datastories.model.Model method) (datastories.model.SingleKpiPredictor method) to_csv() (datastories.api.IAnalysisResult method) (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataSummaryResult method) (datastories.data.OutlierResult method) (datastories.model.SingleKpiPrediction method) (datastories.story.predict_single_kpi.Story method) (datastories.story.predict_single_kpi.StoryRun method) to_excel() (datastories.api.IAnalysisResult method) (datastories.api.IPredictiveModel method) (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataSummaryResult method) (datastories.data.OutlierResult method) (datastories.model.Model method) (datastories.model.SingleKpiPrediction method) (datastories.model.SingleKpiPredictor method) (datastories.story.predict_single_kpi.Story method) (datastories.story.predict_single_kpi.StoryRun method) to_html() (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataSummaryResult method) (datastories.data.OutlierResult method) (datastories.model.SingleKpiPrediction method) (datastories.model.SingleKpiPredictor method) (datastories.visualization.ConfusionMatrix method) (datastories.visualization.CorrelationBrowser method) (datastories.visualization.DataSummaryTable method) (datastories.visualization.ErrorPlot method) (datastories.visualization.OutlierXPlot method) (datastories.visualization.PredictedVsActual method) (datastories.visualization.WhatIfs method)

to_matlab() (datastories.api.IPredictiveModel method) (datastories.model.Model method) (datastories.model.SingleKpiPredictor method) to_pandas() (datastories.api.IAnalysisResult method) (datastories.classification.FeatureRankResult method) (datastories.correlation.PrototypeResult method) (datastories.data.DataFrame method) (datastories.data.DataSummaryResult method) (datastories.data.OutlierResult method) (datastories.model.SingleKpiPrediction method) (datastories.optimization.OptimizationResult method) (datastories.story.predict_single_kpi.Story method) (datastories.story.predict_single_kpi.StoryRun method) to_py() (datastories.api.IPredictiveModel method) (datastories.model.Model method) (datastories.model.SingleKpiPredictor method) to_r() (datastories.api.IPredictiveModel method) (datastories.model.Model method) (datastories.model.SingleKpiPredictor method) type (datastories.model.VariableInfo attribute)

U

UNKNOWN (datastories.data.ColumnType attribute) UNKOWN (datastories.data.DataType attribute)

UNSPECIFIED (datastories.data.RangeType attribute) update() (datastories.data.OutlierResult method) updated (datastories.data.OutlierResult attribute)

V

value (datastories.optimization.VariableRange attribute) VariableInfo (class in datastories.model) VariableMapper (class in datastories.optimization) VariableRange (class in datastories.optimization)

variables (datastories.model.Model attribute) VariableSpec (class in datastories.optimization) vis_settings (datastories.classification.FeatureRankResult attribute) (datastories.correlation.PrototypeResult attribute) (datastories.data.OutlierResult attribute)

W

what_ifs (datastories.story.predict_single_kpi.Story attribute) (datastories.story.predict_single_kpi.StoryRun attribute)

what_ifs() (in module datastories.visualization) WhatIfs (class in datastories.visualization) wide_screen() (in module datastories.display)