Index

_

_data (attribut trainedml.viz.vizs.Vizs)

_figure (attribut trainedml.viz.vizs.Vizs) _save_path (attribut trainedml.viz.vizs.Vizs)

A

analyzer (attribut trainedml.visualization.Visualizer)

B

bins (attribut trainedml.viz.histogram.HistogramViz) bivariate() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer)

BivariateViz (classe dans trainedml.viz.bivariate) boxplot() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer) BoxplotViz (classe dans trainedml.viz.boxplot)

C

columns (attribut trainedml.viz.histogram.HistogramViz) correlation() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer)

correlation_matrix() (dans le module trainedml.viz.correlation) CorrelationViz (classe dans trainedml.viz.correlation)

D

data (attribut trainedml.analyzer.DataAnalyzer) (attribut trainedml.visualization.Visualizer) (attribut trainedml.viz.bivariate.BivariateViz) (attribut trainedml.viz.heatmap.HeatmapViz) (attribut trainedml.viz.histogram.HistogramViz)

DataAnalyzer (classe dans trainedml.analyzer) distribution() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer) distribution_summary() (dans le module trainedml.viz.distribution) DistributionViz (classe dans trainedml.viz.distribution)

F

features (attribut trainedml.viz.heatmap.HeatmapViz) figure (attribut trainedml.viz.bivariate.BivariateViz) (attribut trainedml.viz.heatmap.HeatmapViz) (attribut trainedml.viz.histogram.HistogramViz) (propriété trainedml.viz.vizs.Vizs)

G

get_features() (méthode trainedml.visualization.Visualizer)

H

heatmap() (méthode trainedml.visualization.Visualizer) HeatmapViz (classe dans trainedml.viz.heatmap)

histogram() (méthode trainedml.visualization.Visualizer) HistogramViz (classe dans trainedml.viz.histogram)

L

legend (attribut trainedml.viz.histogram.HistogramViz)

line() (méthode trainedml.visualization.Visualizer) LineViz (classe dans trainedml.viz.line)

M

mask (attribut trainedml.viz.heatmap.HeatmapViz) method (attribut trainedml.viz.heatmap.HeatmapViz) missing() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer) missing_summary() (dans le module trainedml.viz.missing) MissingValuesViz (classe dans trainedml.viz.missing) module trainedml.analyzer trainedml.visualization trainedml.viz.bivariate trainedml.viz.boxplot trainedml.viz.correlation trainedml.viz.distribution trainedml.viz.heatmap trainedml.viz.histogram trainedml.viz.line trainedml.viz.missing trainedml.viz.multicollinearity trainedml.viz.normality trainedml.viz.outliers trainedml.viz.profiling trainedml.viz.target trainedml.viz.vizs

multicollinearity() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer) MulticollinearityViz (classe dans trainedml.viz.multicollinearity)

N

normality() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer)

normality_tests() (dans le module trainedml.viz.normality) NormalityViz (classe dans trainedml.viz.normality)

O

outlier_summary() (dans le module trainedml.viz.outliers) outliers() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer)

OutliersViz (classe dans trainedml.viz.outliers)

P

profiling() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer)

profiling_report() (dans le module trainedml.viz.profiling) ProfilingViz (classe dans trainedml.viz.profiling)

S

save() (méthode trainedml.viz.vizs.Vizs)

save_path (propriété trainedml.viz.vizs.Vizs)

T

target() (méthode trainedml.analyzer.DataAnalyzer) (méthode trainedml.visualization.Visualizer) TargetViz (classe dans trainedml.viz.target) trainedml.analyzer module trainedml.visualization module trainedml.viz.bivariate module trainedml.viz.boxplot module trainedml.viz.correlation module trainedml.viz.distribution module trainedml.viz.heatmap module

trainedml.viz.histogram module trainedml.viz.line module trainedml.viz.missing module trainedml.viz.multicollinearity module trainedml.viz.normality module trainedml.viz.outliers module trainedml.viz.profiling module trainedml.viz.target module trainedml.viz.vizs module

V

vif_summary() (dans le module trainedml.viz.multicollinearity) Visualizer (classe dans trainedml.visualization) Vizs (classe dans trainedml.viz.vizs) vizs() (méthode trainedml.viz.bivariate.BivariateViz) (méthode trainedml.viz.boxplot.BoxplotViz) (méthode trainedml.viz.correlation.CorrelationViz) (méthode trainedml.viz.distribution.DistributionViz) (méthode trainedml.viz.heatmap.HeatmapViz) (méthode trainedml.viz.histogram.HistogramViz) (méthode trainedml.viz.line.LineViz) (méthode trainedml.viz.missing.MissingValuesViz) (méthode trainedml.viz.multicollinearity.MulticollinearityViz) (méthode trainedml.viz.normality.NormalityViz) (méthode trainedml.viz.outliers.OutliersViz) (méthode trainedml.viz.profiling.ProfilingViz) (méthode trainedml.viz.target.TargetViz) (méthode trainedml.viz.vizs.Vizs)

X

x (attribut trainedml.viz.bivariate.BivariateViz)

Y

y (attribut trainedml.viz.bivariate.BivariateViz)