Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
U
|
W
|
X
|
Y
A
accuracy() (dvb.datascience.score.ClassificationScore method)
addPipe() (dvb.datascience.pipeline.Pipeline method)
ALL (dvb.datascience.transform.split.TrainTestSplitBase attribute)
AnalyticsBase (class in dvb.datascience.eda.base)
AndrewsPlot (class in dvb.datascience.eda.andrews)
ARFFDataExportPipe (class in dvb.datascience.data.arff)
ARFFDataImportPipe (class in dvb.datascience.data.arff)
auc() (dvb.datascience.score.ClassificationScore method)
B
BoxPlot (class in dvb.datascience.eda.boxplot)
C
CallableTrainTestSplit (class in dvb.datascience.transform.split)
CategoricalImpute (class in dvb.datascience.transform.impute)
classes (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
classification_report() (dvb.datascience.score.ClassificationScore method)
ClassificationPipeBase (class in dvb.datascience.classification_pipe_base)
ClassificationScore (class in dvb.datascience.score)
ComputeFeature (class in dvb.datascience.transform.features)
confusion_matrix() (dvb.datascience.score.ClassificationScore method)
convertValue() (dvb.datascience.data.teradata.customDataTypeConverter method)
CorrMatrixPlot (class in dvb.datascience.eda.corrmatrix)
CostThreshold (class in dvb.datascience.predictor)
CSVDataExportPipe (class in dvb.datascience.data.csv)
CSVDataImportPipe (class in dvb.datascience.data.csv)
current_transform_nr (dvb.datascience.pipeline.Pipeline attribute)
customDataTypeConverter (class in dvb.datascience.data.teradata)
D
DataPipe (class in dvb.datascience.data)
Describe (class in dvb.datascience.eda.describe)
DimensionReductionPlots (class in dvb.datascience.eda.dimension_reduction)
draw_design() (dvb.datascience.pipeline.Pipeline method)
DropFeatures (class in dvb.datascience.transform.features)
DropFeaturesMixin (class in dvb.datascience.transform.features)
DropHighlyCorrelatedFeatures (class in dvb.datascience.transform.features)
DropNonInvertibleFeatures (class in dvb.datascience.transform.features)
Dump (class in dvb.datascience.eda.dump)
dvb (module)
dvb.datascience (module)
dvb.datascience.classification_pipe_base (module)
dvb.datascience.data (module)
dvb.datascience.data.arff (module)
dvb.datascience.data.csv (module)
dvb.datascience.data.excel (module)
dvb.datascience.data.teradata (module)
dvb.datascience.eda (module)
dvb.datascience.eda.andrews (module)
dvb.datascience.eda.base (module)
dvb.datascience.eda.boxplot (module)
dvb.datascience.eda.corrmatrix (module)
dvb.datascience.eda.describe (module)
dvb.datascience.eda.dimension_reduction (module)
dvb.datascience.eda.dump (module)
dvb.datascience.eda.ecdf (module)
dvb.datascience.eda.hist (module)
dvb.datascience.eda.logit_summary (module)
dvb.datascience.eda.scatter (module)
dvb.datascience.eda.swarm (module)
dvb.datascience.pipe_base (module)
dvb.datascience.pipeline (module)
dvb.datascience.predictor (module)
dvb.datascience.score (module)
dvb.datascience.sub_pipe_base (module)
dvb.datascience.transform (module)
dvb.datascience.transform.classes (module)
dvb.datascience.transform.core (module)
dvb.datascience.transform.features (module)
dvb.datascience.transform.filter (module)
dvb.datascience.transform.impute (module)
dvb.datascience.transform.metadata (module)
dvb.datascience.transform.outliers (module)
dvb.datascience.transform.pandaswrapper (module)
dvb.datascience.transform.sklearnwrapper (module)
dvb.datascience.transform.smote (module)
dvb.datascience.transform.split (module)
dvb.datascience.transform.union (module)
E
ecdf() (dvb.datascience.eda.ecdf.ECDFPlots static method)
ECDFPlots (class in dvb.datascience.eda.ecdf)
end() (dvb.datascience.pipeline.Pipeline method)
ExcelDataImportPipe (class in dvb.datascience.data.excel)
F
features (dvb.datascience.transform.features.FeaturesBase attribute)
features_function (dvb.datascience.transform.features.SpecifyFeaturesBase attribute)
FeaturesBase (class in dvb.datascience.transform.features)
figs (dvb.datascience.pipe_base.PipeBase attribute)
file_path (dvb.datascience.data.arff.ARFFDataExportPipe attribute)
(dvb.datascience.data.arff.ARFFDataImportPipe attribute)
FilterFeatures (class in dvb.datascience.transform.features)
FilterObservations (class in dvb.datascience.transform.filter)
FilterTypeFeatures (class in dvb.datascience.transform.features)
FINISHED (dvb.datascience.pipeline.Status attribute)
fit() (dvb.datascience.data.arff.ARFFDataExportPipe method)
(dvb.datascience.data.DataPipe method)
(dvb.datascience.data.arff.ARFFDataImportPipe method)
(dvb.datascience.eda.base.AnalyticsBase method)
(dvb.datascience.pipe_base.PipeBase method)
(dvb.datascience.predictor.SklearnClassifier method)
(dvb.datascience.predictor.SklearnGridSearch method)
(dvb.datascience.predictor.TPOTClassifier method)
(dvb.datascience.score.ClassificationScore method)
(dvb.datascience.transform.classes.LabelBinarizerPipe method)
(dvb.datascience.transform.core.GetCoreFeatures method)
(dvb.datascience.transform.features.DropHighlyCorrelatedFeatures method)
(dvb.datascience.transform.features.DropNonInvertibleFeatures method)
(dvb.datascience.transform.features.SpecifyFeaturesBase method)
(dvb.datascience.transform.impute.CategoricalImpute method)
(dvb.datascience.transform.impute.ImputeWithDummy method)
(dvb.datascience.transform.outliers.RemoveOutliers method)
(dvb.datascience.transform.outliers.ReplaceOutliersFeature method)
(dvb.datascience.transform.sklearnwrapper.SKLearnBase method)
(dvb.datascience.transform.sklearnwrapper.SKLearnWrapper method)
(dvb.datascience.transform.smote.SMOTESampler method)
fit_attributes (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
(dvb.datascience.data.arff.ARFFDataExportPipe attribute)
(dvb.datascience.data.arff.ARFFDataImportPipe attribute)
(dvb.datascience.pipe_base.PipeBase attribute)
(dvb.datascience.predictor.SklearnClassifier attribute)
(dvb.datascience.transform.classes.LabelBinarizerPipe attribute)
(dvb.datascience.transform.core.GetCoreFeatures attribute)
(dvb.datascience.transform.features.FeaturesBase attribute)
(dvb.datascience.transform.impute.CategoricalImpute attribute)
(dvb.datascience.transform.impute.ImputeWithDummy attribute)
(dvb.datascience.transform.outliers.RemoveOutliers attribute)
(dvb.datascience.transform.outliers.ReplaceOutliersFeature attribute)
(dvb.datascience.transform.sklearnwrapper.SKLearnWrapper attribute)
fit_transform() (dvb.datascience.pipe_base.PipeBase method)
(dvb.datascience.pipeline.Pipeline method)
(dvb.datascience.sub_pipe_base.SubPipelineBase method)
fit_transform_try() (dvb.datascience.pipeline.Pipeline method)
G
GeneratedSampleClassification (class in dvb.datascience.data)
get_core_features() (dvb.datascience.transform.core.GetCoreFeatures method)
get_fig() (dvb.datascience.pipe_base.PipeBase method)
get_number_of_dfs() (dvb.datascience.eda.base.AnalyticsBase method)
get_params() (dvb.datascience.pipeline.Pipeline static method)
get_pipe() (dvb.datascience.pipeline.Pipeline method)
get_pipe_input() (dvb.datascience.pipeline.Pipeline method)
get_pipe_output() (dvb.datascience.pipeline.Pipeline method)
get_processable_pipes() (dvb.datascience.pipeline.Pipeline method)
get_transform_data_by_key() (dvb.datascience.pipe_base.PipeBase method)
GetCoreFeatures (class in dvb.datascience.transform.core)
GridSearchCVProgressBar (class in dvb.datascience.predictor)
H
Hist (class in dvb.datascience.eda.hist)
I
ImputeWithDummy (class in dvb.datascience.transform.impute)
impValueTrain (dvb.datascience.transform.impute.ImputeWithDummy attribute)
input_connectors (dvb.datascience.pipeline.Pipeline attribute)
input_keys (dvb.datascience.data.arff.ARFFDataExportPipe attribute)
(dvb.datascience.data.GeneratedSampleClassification attribute)
(dvb.datascience.data.SampleData attribute)
(dvb.datascience.data.arff.ARFFDataImportPipe attribute)
(dvb.datascience.data.csv.CSVDataExportPipe attribute)
(dvb.datascience.data.csv.CSVDataImportPipe attribute)
(dvb.datascience.data.excel.ExcelDataImportPipe attribute)
(dvb.datascience.eda.andrews.AndrewsPlot attribute)
(dvb.datascience.eda.boxplot.BoxPlot attribute)
(dvb.datascience.eda.corrmatrix.CorrMatrixPlot attribute)
(dvb.datascience.eda.describe.Describe attribute)
(dvb.datascience.eda.dimension_reduction.DimensionReductionPlots attribute)
(dvb.datascience.eda.dump.Dump attribute)
(dvb.datascience.eda.ecdf.ECDFPlots attribute)
(dvb.datascience.eda.hist.Hist attribute)
(dvb.datascience.eda.logit_summary.LogitSummary attribute)
(dvb.datascience.eda.scatter.ScatterPlots attribute)
(dvb.datascience.eda.swarm.SwarmPlots attribute)
(dvb.datascience.pipe_base.PipeBase attribute)
(dvb.datascience.predictor.SklearnClassifier attribute)
(dvb.datascience.predictor.SklearnGridSearch attribute)
(dvb.datascience.score.ClassificationScore attribute)
(dvb.datascience.transform.classes.LabelBinarizerPipe attribute)
(dvb.datascience.transform.core.GetCoreFeatures attribute)
(dvb.datascience.transform.features.ComputeFeature attribute)
(dvb.datascience.transform.features.FeaturesBase attribute)
(dvb.datascience.transform.features.FilterFeatures attribute)
(dvb.datascience.transform.features.FilterTypeFeatures attribute)
(dvb.datascience.transform.filter.FilterObservations attribute)
(dvb.datascience.transform.impute.CategoricalImpute attribute)
(dvb.datascience.transform.impute.ImputeWithDummy attribute)
(dvb.datascience.transform.metadata.MetadataPipeline attribute)
(dvb.datascience.transform.outliers.RemoveOutliers attribute)
(dvb.datascience.transform.outliers.ReplaceOutliersFeature attribute)
(dvb.datascience.transform.pandaswrapper.PandasWrapper attribute)
(dvb.datascience.transform.sklearnwrapper.SKLearnWrapper attribute)
(dvb.datascience.transform.smote.SMOTESampler attribute)
(dvb.datascience.transform.split.TrainTestSplitBase attribute)
(dvb.datascience.transform.union.Union attribute)
is_invertible() (dvb.datascience.transform.features.DropNonInvertibleFeatures static method)
is_valid_name() (dvb.datascience.pipeline.Pipeline static method)
L
LabelBinarizerPipe (class in dvb.datascience.transform.classes)
lb (dvb.datascience.transform.classes.LabelBinarizerPipe attribute)
load() (dvb.datascience.pipe_base.PipeBase method)
(dvb.datascience.pipeline.Pipeline method)
(dvb.datascience.sub_pipe_base.SubPipelineBase method)
load_module() (in module dvb.datascience)
log_loss() (dvb.datascience.score.ClassificationScore method)
LogitSummary (class in dvb.datascience.eda.logit_summary)
M
mcc() (dvb.datascience.score.ClassificationScore method)
MetadataPipeline (class in dvb.datascience.transform.metadata)
N
n_classes (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
name (dvb.datascience.pipe_base.PipeBase attribute)
NOT_STARTED (dvb.datascience.pipeline.Status attribute)
O
output_connectors (dvb.datascience.pipeline.Pipeline attribute)
output_keys (dvb.datascience.data.arff.ARFFDataExportPipe attribute)
(dvb.datascience.data.GeneratedSampleClassification attribute)
(dvb.datascience.data.SampleData attribute)
(dvb.datascience.data.arff.ARFFDataImportPipe attribute)
(dvb.datascience.data.csv.CSVDataExportPipe attribute)
(dvb.datascience.data.csv.CSVDataImportPipe attribute)
(dvb.datascience.data.excel.ExcelDataImportPipe attribute)
(dvb.datascience.eda.andrews.AndrewsPlot attribute)
(dvb.datascience.eda.boxplot.BoxPlot attribute)
(dvb.datascience.eda.corrmatrix.CorrMatrixPlot attribute)
(dvb.datascience.eda.describe.Describe attribute)
(dvb.datascience.eda.dimension_reduction.DimensionReductionPlots attribute)
(dvb.datascience.eda.dump.Dump attribute)
(dvb.datascience.eda.ecdf.ECDFPlots attribute)
(dvb.datascience.eda.hist.Hist attribute)
(dvb.datascience.eda.logit_summary.LogitSummary attribute)
(dvb.datascience.eda.scatter.ScatterPlots attribute)
(dvb.datascience.eda.swarm.SwarmPlots attribute)
(dvb.datascience.pipe_base.PipeBase attribute)
(dvb.datascience.predictor.SklearnClassifier attribute)
(dvb.datascience.predictor.SklearnGridSearch attribute)
(dvb.datascience.score.ClassificationScore attribute)
(dvb.datascience.transform.classes.LabelBinarizerPipe attribute)
(dvb.datascience.transform.core.GetCoreFeatures attribute)
(dvb.datascience.transform.features.ComputeFeature attribute)
(dvb.datascience.transform.features.FeaturesBase attribute)
(dvb.datascience.transform.features.FilterFeatures attribute)
(dvb.datascience.transform.features.FilterTypeFeatures attribute)
(dvb.datascience.transform.filter.FilterObservations attribute)
(dvb.datascience.transform.impute.CategoricalImpute attribute)
(dvb.datascience.transform.impute.ImputeWithDummy attribute)
(dvb.datascience.transform.metadata.MetadataPipeline attribute)
(dvb.datascience.transform.outliers.RemoveOutliers attribute)
(dvb.datascience.transform.outliers.ReplaceOutliersFeature attribute)
(dvb.datascience.transform.pandaswrapper.PandasWrapper attribute)
(dvb.datascience.transform.sklearnwrapper.SKLearnWrapper attribute)
(dvb.datascience.transform.smote.SMOTESampler attribute)
(dvb.datascience.transform.split.TrainTestSplitBase attribute)
(dvb.datascience.transform.union.Union attribute)
P
PandasWrapper (class in dvb.datascience.transform.pandaswrapper)
params (dvb.datascience.score.ClassificationScore attribute)
PassData (class in dvb.datascience.sub_pipe_base)
PipeBase (class in dvb.datascience.pipe_base)
Pipeline (class in dvb.datascience.pipeline)
pipes (dvb.datascience.pipeline.Pipeline attribute)
plot_auc() (dvb.datascience.score.ClassificationScore method)
plot_confusion_matrix() (dvb.datascience.score.ClassificationScore method)
plot_model_performance() (dvb.datascience.score.ClassificationScore method)
possible_dataset_names (dvb.datascience.data.SampleData attribute)
possible_predict_methods (dvb.datascience.score.ClassificationScore attribute)
possible_score_methods (dvb.datascience.score.ClassificationScore attribute)
possible_strategies (dvb.datascience.transform.impute.ImputeWithDummy attribute)
precision_recall_curve() (dvb.datascience.score.ClassificationScore method)
PrecisionRecallThreshold (class in dvb.datascience.predictor)
PROCESSING (dvb.datascience.pipeline.Status attribute)
R
RandomTrainTestSplit (class in dvb.datascience.transform.split)
RemoveOutliers (class in dvb.datascience.transform.outliers)
ReplaceOutliersFeature (class in dvb.datascience.transform.outliers)
reset_fit() (dvb.datascience.pipeline.Pipeline method)
run_module() (in module dvb.datascience)
S
s (dvb.datascience.transform.sklearnwrapper.SKLearnWrapper attribute)
SampleData (class in dvb.datascience.data)
save() (dvb.datascience.pipe_base.PipeBase method)
(dvb.datascience.pipeline.Pipeline method)
(dvb.datascience.sub_pipe_base.SubPipelineBase method)
scatterPlot() (dvb.datascience.eda.dimension_reduction.DimensionReductionPlots method)
ScatterPlots (class in dvb.datascience.eda.scatter)
set_fig() (dvb.datascience.eda.base.AnalyticsBase method)
set_y() (dvb.datascience.predictor.ThresholdBase method)
SKLearnBase (class in dvb.datascience.transform.sklearnwrapper)
SklearnClassifier (class in dvb.datascience.predictor)
SklearnGridSearch (class in dvb.datascience.predictor)
SKLearnWrapper (class in dvb.datascience.transform.sklearnwrapper)
SMOTESampler (class in dvb.datascience.transform.smote)
SpecifyFeaturesBase (class in dvb.datascience.transform.features)
Status (class in dvb.datascience.pipeline)
SubPipelineBase (class in dvb.datascience.sub_pipe_base)
SwarmPlots (class in dvb.datascience.eda.swarm)
T
TeraDataImportPipe (class in dvb.datascience.data.teradata)
TEST (dvb.datascience.transform.split.TrainTestSplitBase attribute)
threshold (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
(dvb.datascience.predictor.SklearnClassifier attribute)
ThresholdBase (class in dvb.datascience.predictor)
TPOTClassifier (class in dvb.datascience.predictor)
TRAIN (dvb.datascience.transform.split.TrainTestSplitBase attribute)
TrainTestSplit (class in dvb.datascience.transform.split)
TrainTestSplitBase (class in dvb.datascience.transform.split)
transform() (dvb.datascience.classification_pipe_base.ClassificationPipeBase method)
(dvb.datascience.data.DataPipe method)
(dvb.datascience.data.GeneratedSampleClassification method)
(dvb.datascience.data.SampleData method)
(dvb.datascience.data.arff.ARFFDataExportPipe method)
(dvb.datascience.data.arff.ARFFDataImportPipe method)
(dvb.datascience.data.csv.CSVDataExportPipe method)
(dvb.datascience.data.csv.CSVDataImportPipe method)
(dvb.datascience.data.excel.ExcelDataImportPipe method)
(dvb.datascience.data.teradata.TeraDataImportPipe method)
(dvb.datascience.eda.andrews.AndrewsPlot method)
(dvb.datascience.eda.base.AnalyticsBase method)
(dvb.datascience.eda.boxplot.BoxPlot method)
(dvb.datascience.eda.corrmatrix.CorrMatrixPlot method)
(dvb.datascience.eda.describe.Describe method)
(dvb.datascience.eda.dimension_reduction.DimensionReductionPlots method)
(dvb.datascience.eda.dump.Dump method)
(dvb.datascience.eda.ecdf.ECDFPlots method)
(dvb.datascience.eda.hist.Hist method)
(dvb.datascience.eda.logit_summary.LogitSummary method)
(dvb.datascience.eda.scatter.ScatterPlots method)
(dvb.datascience.eda.swarm.SwarmPlots method)
(dvb.datascience.pipe_base.PipeBase method)
(dvb.datascience.pipeline.Pipeline method)
(dvb.datascience.predictor.SklearnClassifier method)
(dvb.datascience.score.ClassificationScore method)
(dvb.datascience.sub_pipe_base.PassData method)
(dvb.datascience.sub_pipe_base.SubPipelineBase method)
(dvb.datascience.transform.classes.LabelBinarizerPipe method)
(dvb.datascience.transform.core.GetCoreFeatures method)
(dvb.datascience.transform.features.ComputeFeature method)
(dvb.datascience.transform.features.DropFeaturesMixin method)
(dvb.datascience.transform.features.FeaturesBase method)
(dvb.datascience.transform.features.FilterFeatures method)
(dvb.datascience.transform.features.FilterTypeFeatures method)
(dvb.datascience.transform.features.SpecifyFeaturesBase method)
(dvb.datascience.transform.filter.FilterObservations method)
(dvb.datascience.transform.impute.CategoricalImpute method)
(dvb.datascience.transform.impute.ImputeWithDummy method)
(dvb.datascience.transform.outliers.RemoveOutliers method)
(dvb.datascience.transform.outliers.ReplaceOutliersFeature method)
(dvb.datascience.transform.pandaswrapper.PandasWrapper method)
(dvb.datascience.transform.sklearnwrapper.SKLearnBase method)
(dvb.datascience.transform.sklearnwrapper.SKLearnWrapper method)
(dvb.datascience.transform.smote.SMOTESampler method)
(dvb.datascience.transform.split.CallableTrainTestSplit method)
(dvb.datascience.transform.split.RandomTrainTestSplit method)
(dvb.datascience.transform.union.Union method)
transform_outputs (dvb.datascience.pipeline.Pipeline attribute)
transform_status (dvb.datascience.pipeline.Pipeline attribute)
transform_try() (dvb.datascience.pipeline.Pipeline method)
U
Union (class in dvb.datascience.transform.union)
W
wekaname (dvb.datascience.data.arff.ARFFDataExportPipe attribute)
X
X (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
X_labels (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
Y
y_pred (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
y_pred_label (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
y_pred_proba (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
(dvb.datascience.predictor.ThresholdBase attribute)
y_pred_proba_labels (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
(dvb.datascience.predictor.ThresholdBase attribute)
y_true (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
(dvb.datascience.predictor.ThresholdBase attribute)
y_true_label (dvb.datascience.classification_pipe_base.ClassificationPipeBase attribute)
dvb.datascience
Navigation
Contents:
dvb.datascience
Introduction dvb.datascience
Fetching the output
Confusion matrix
Precision Recall Curve
AUC plot
Plots
Example Data Details
Example running pipeline from script
Related Topics
Documentation overview
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