Index

_

__init__() (process_improve.monitoring.control_charts.ControlChart method)

A

action (process_improve.experiments.strategy.models.TransitionRule attribute) adj_r2_ (process_improve.regression.methods.OLS attribute) align_with_path() (in module process_improve.batch.preprocessing) allocate_budget() (in module process_improve.experiments.strategy.budget) alternative_strategies (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) AnalysisResult (class in process_improve.experiments.analysis) analytical_method (process_improve.experiments.strategy.models.DomainType attribute) analyze_experiment() (in module process_improve.experiments.analysis)

Annotation (class in process_improve.visualization.spec) annotation_type (process_improve.visualization.spec.Annotation attribute) annotations (process_improve.visualization.spec.PanelSpec attribute) AnnotationType (class in process_improve.visualization.types) apply_scaling() (in module process_improve.batch.preprocessing) area (process_improve.visualization.types.MarkType attribute) assumptions (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) axis (process_improve.visualization.spec.Annotation attribute)

B

backend_hints (process_improve.visualization.spec.PanelSpec attribute) bar (process_improve.visualization.types.MarkType attribute) batch_dtw() (in module process_improve.batch.preprocessing) bioprocess (process_improve.experiments.strategy.models.DomainType attribute) block_spe_limit() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method)

box_cox (process_improve.visualization.types.DOEPlotType attribute) boxplot (process_improve.visualization.types.MarkType attribute) budget (process_improve.experiments.strategy.models.DOEProblemSpec attribute) budget_allocation (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) build_formula() (in module process_improve.experiments.analysis)

C

calculate_cpk() (in module process_improve.monitoring.metrics) calculate_limits() (process_improve.monitoring.control_charts.ControlChart method) category (process_improve.visualization.types.ScaleType attribute) cell_culture (process_improve.experiments.strategy.models.DomainType attribute) center() (in module process_improve.multivariate.methods) ChartSpec (class in process_improve.visualization.spec) check_valid_batch_dict() (in module process_improve.batch.data_input) coefficients_ (process_improve.regression.methods.OLS attribute) color (process_improve.visualization.spec.LayerSpec attribute) colours_per_batch_id() (in module process_improve.batch.plotting) columns (process_improve.visualization.spec.ChartSpec attribute) condition (process_improve.experiments.strategy.models.TransitionRule attribute)

conf_interval_intercept_ (process_improve.regression.methods.OLS attribute) conf_intervals_ (process_improve.regression.methods.OLS attribute) confidence (process_improve.experiments.strategy.models.PriorKnowledge attribute) confidence_interval() (in module process_improve.univariate.metrics) constraint_region (process_improve.visualization.types.AnnotationType attribute) constraint_region() (in module process_improve.visualization.spec) constraints (process_improve.experiments.strategy.models.DOEProblemSpec attribute) contour (process_improve.visualization.types.DOEPlotType attribute) (process_improve.visualization.types.MarkType attribute) ControlChart (class in process_improve.monitoring.control_charts) cross() (in module process_improve.batch.features) cube_plot (process_improve.visualization.types.DOEPlotType attribute)

D

daniel (process_improve.visualization.types.DOEPlotType attribute) data (process_improve.visualization.spec.LayerSpec attribute) design_params (process_improve.experiments.strategy.models.ExperimentalStage attribute) design_type (process_improve.experiments.strategy.models.ExperimentalStage attribute) desirability_contour (process_improve.visualization.types.DOEPlotType attribute) detail_level (process_improve.experiments.strategy.models.DOEProblemSpec attribute) (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) detect_outliers() (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) detect_outliers_esd() (in module process_improve.univariate.metrics) determine_scaling() (in module process_improve.batch.preprocessing) df_model_ (process_improve.regression.methods.OLS attribute) df_resid_ (process_improve.regression.methods.OLS attribute)

dict_to_melted() (in module process_improve.batch.data_input) dict_to_wide() (in module process_improve.batch.data_input) display_results() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.TPLS method) DOEPlotType (class in process_improve.visualization.types) DOEProblemSpec (class in process_improve.experiments.strategy.models) domain (process_improve.experiments.strategy.models.DOEProblemSpec attribute) (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) (process_improve.visualization.spec.Encoding attribute) DomainType (class in process_improve.experiments.strategy.models) dtw_core() (in module process_improve.batch.preprocessing) DTWresult (class in process_improve.batch.preprocessing)

E

EChartsAdapter (class in process_improve.visualization.adapters.echarts_adapter) Encoding (class in process_improve.visualization.spec) estimate_confirmation_runs() (in module process_improve.experiments.strategy.budget) estimate_rsm_runs() (in module process_improve.experiments.strategy.budget) estimate_screening_runs() (in module process_improve.experiments.strategy.budget)

estimated_runs (process_improve.experiments.strategy.models.ExperimentalStage attribute) evaluate_design() (in module process_improve.experiments.evaluate) existing_data_summary (process_improve.experiments.strategy.models.DOEProblemSpec attribute) ExperimentalStage (class in process_improve.experiments.strategy.models) ExperimentalStrategy (class in process_improve.experiments.strategy.models) extraction (process_improve.experiments.strategy.models.DomainType attribute)

F

f_agemax() (in module process_improve.batch.features) f_agemin() (in module process_improve.batch.features) f_area() (in module process_improve.batch.features) f_count() (in module process_improve.batch.features) f_crossing() (in module process_improve.batch.features) f_elbow() (in module process_improve.batch.features) f_iqr() (in module process_improve.batch.features) f_last() (in module process_improve.batch.features) f_mad() (in module process_improve.batch.features) f_max() (in module process_improve.batch.features) f_mean() (in module process_improve.batch.features) f_median() (in module process_improve.batch.features) f_min() (in module process_improve.batch.features) f_pvalue_ (process_improve.regression.methods.OLS attribute) f_robust_mad() (in module process_improve.batch.features) f_rupture() (in module process_improve.batch.features) f_slope() (in module process_improve.batch.features) f_statistic_ (process_improve.regression.methods.OLS attribute) f_std() (in module process_improve.batch.features) f_sum() (in module process_improve.batch.features) factor_names (process_improve.experiments.strategy.models.DOEProblemSpec property) factors (process_improve.experiments.strategy.models.DOEProblemSpec attribute) (process_improve.experiments.strategy.models.ExperimentalStage attribute) fallback (process_improve.experiments.strategy.models.TransitionRule attribute)

fds_plot (process_improve.visualization.types.DOEPlotType attribute) feature_names_in_ (process_improve.regression.methods.OLS attribute) fermentation (process_improve.experiments.strategy.models.DomainType attribute) field (process_improve.visualization.spec.Encoding attribute) find_average_length() (in module process_improve.batch.preprocessing) find_elbow_point() (in module process_improve.bivariate.methods) find_line_intersection() (in module process_improve.bivariate.methods) find_reference_batch() (in module process_improve.batch.preprocessing) fit() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.MCUVScaler method) (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) (process_improve.multivariate.methods.TPLS method) (process_improve.regression.methods.OLS method) fit_robust_lm() (in module process_improve.regression.methods) fit_transform() (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) fitted_values_ (process_improve.regression.methods.OLS attribute) food_science (process_improve.experiments.strategy.models.DomainType attribute) forg() (in module process_improve.experiments.models) format_str (process_improve.visualization.spec.Encoding attribute) formula (process_improve.experiments.analysis.AnalysisResult attribute) full_factorial() (in module process_improve.experiments.designs_factorial)

G

general (process_improve.experiments.strategy.models.DomainType attribute) generate_one_frame() (in module process_improve.batch.plotting) get_aliases() (process_improve.experiments.models.Model method) get_domain_template() (in module process_improve.experiments.strategy.domain_templates) get_factor_names() (process_improve.experiments.models.Model method)

get_parameters() (process_improve.experiments.models.Model method) get_response_name() (process_improve.experiments.models.Model method) get_rgba_from_triplet() (in module process_improve.batch.plotting) get_title() (process_improve.experiments.models.Model method) goal_includes_optimization (process_improve.experiments.strategy.models.DOEProblemSpec property)

H

half_normal (process_improve.visualization.types.DOEPlotType attribute) hard_to_change_factors (process_improve.experiments.strategy.models.DOEProblemSpec attribute) has_constraints (process_improve.experiments.strategy.models.DOEProblemSpec property) has_hard_to_change (process_improve.experiments.strategy.models.DOEProblemSpec property)

has_mixture (process_improve.experiments.strategy.models.DOEProblemSpec property) has_supporting_data (process_improve.experiments.strategy.models.PriorKnowledge attribute) heatmap (process_improve.visualization.types.MarkType attribute) height (process_improve.visualization.spec.PanelSpec attribute) help() (process_improve.multivariate.methods.TPLS method)

I

influence_ (process_improve.regression.methods.OLS attribute) interaction (process_improve.visualization.types.DOEPlotType attribute)

intercept_ (process_improve.regression.methods.OLS attribute) inverse_transform() (process_improve.multivariate.methods.MCUVScaler method) is_fitted_ (process_improve.regression.methods.OLS attribute)

K

known_ranges_reliable (process_improve.experiments.strategy.models.PriorKnowledge attribute)

known_significant_factors (process_improve.experiments.strategy.models.PriorKnowledge attribute)

L

label (process_improve.visualization.spec.Annotation attribute) (process_improve.visualization.types.AnnotationType attribute) layers (process_improve.visualization.spec.PanelSpec attribute) LayerSpec (class in process_improve.visualization.spec) layout (process_improve.visualization.spec.ChartSpec attribute) leverage_ (process_improve.regression.methods.OLS attribute)

line (process_improve.visualization.types.MarkType attribute) linear (process_improve.visualization.types.ScaleType attribute) link_group (process_improve.visualization.spec.ChartSpec attribute) linked (process_improve.visualization.spec.ChartSpec attribute) lm() (in module process_improve.experiments.models) loading_plot() (in module process_improve.multivariate.plots) log (process_improve.visualization.types.ScaleType attribute)

M

main_effects (process_improve.visualization.types.DOEPlotType attribute) mark (process_improve.visualization.spec.LayerSpec attribute) MarkType (class in process_improve.visualization.types) MBPCA (class in process_improve.multivariate.methods) MBPLS (class in process_improve.multivariate.methods) MCUVScaler (class in process_improve.multivariate.methods) median_absolute_deviation() (in module process_improve.univariate.metrics) melt_df_to_series() (in module process_improve.batch.data_input) melted_to_dict() (in module process_improve.batch.data_input) melted_to_wide() (in module process_improve.batch.data_input) metadata (process_improve.visualization.spec.ChartSpec attribute) Model (class in process_improve.experiments.models) model_config (process_improve.experiments.strategy.models.DOEProblemSpec attribute) (process_improve.experiments.strategy.models.ExperimentalStage attribute) (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) (process_improve.experiments.strategy.models.PriorKnowledge attribute) (process_improve.experiments.strategy.models.TransitionRule attribute) module process_improve.batch.data_input process_improve.batch.features process_improve.batch.plotting process_improve.batch.preprocessing process_improve.bivariate.methods process_improve.experiments.analysis process_improve.experiments.designs_factorial process_improve.experiments.evaluate process_improve.experiments.models process_improve.experiments.strategy process_improve.experiments.strategy.budget process_improve.experiments.strategy.domain_templates process_improve.experiments.strategy.engine process_improve.experiments.strategy.models process_improve.monitoring.control_charts process_improve.monitoring.metrics process_improve.multivariate.methods process_improve.multivariate.plots process_improve.regression.methods process_improve.univariate.metrics process_improve.visualization process_improve.visualization.adapters.echarts_adapter process_improve.visualization.adapters.plotly_adapter process_improve.visualization.spec process_improve.visualization.types

multiple_linear_regression() (in module process_improve.regression.methods)

N

n_categorical (process_improve.experiments.strategy.models.DOEProblemSpec property) n_continuous (process_improve.experiments.strategy.models.DOEProblemSpec property) n_factors (process_improve.experiments.strategy.models.DOEProblemSpec property) n_features_in_ (process_improve.regression.methods.OLS attribute) n_mixture (process_improve.experiments.strategy.models.DOEProblemSpec property)

n_samples (process_improve.multivariate.methods.TPLS attribute) n_samples_ (process_improve.regression.methods.OLS attribute) n_substances (process_improve.multivariate.methods.TPLS attribute) name (process_improve.visualization.spec.LayerSpec attribute) normal_probability (process_improve.visualization.types.DOEPlotType attribute)

O

OLS (class in process_improve.regression.methods) ols_result (process_improve.experiments.analysis.AnalysisResult attribute)

one_iteration_dtw() (in module process_improve.batch.preprocessing) opacity (process_improve.visualization.spec.LayerSpec attribute) overlay (process_improve.visualization.types.DOEPlotType attribute)

P

p_value_intercept_ (process_improve.regression.methods.OLS attribute) p_values_ (process_improve.regression.methods.OLS attribute) panels (process_improve.visualization.spec.ChartSpec attribute) PanelSpec (class in process_improve.visualization.spec) pareto (process_improve.visualization.types.DOEPlotType attribute) PCA (class in process_improve.multivariate.methods) perturbation (process_improve.visualization.types.DOEPlotType attribute) pharma_formulation (process_improve.experiments.strategy.models.DomainType attribute) pi_range_ (process_improve.regression.methods.OLS attribute) plot_all_batches_per_tag() (in module process_improve.batch.plotting) plot_multitags() (in module process_improve.batch.plotting) plot_to_HTML() (in module process_improve.batch.plotting) plot_type (process_improve.visualization.spec.ChartSpec attribute) PlotlyAdapter (class in process_improve.visualization.adapters.plotly_adapter) PLS (class in process_improve.multivariate.methods) point_ids (process_improve.visualization.spec.ChartSpec attribute) power_curve (process_improve.visualization.types.DOEPlotType attribute) predict() (in module process_improve.experiments.models) (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) (process_improve.multivariate.methods.TPLS method) (process_improve.regression.methods.OLS method) prediction_variance (process_improve.visualization.types.DOEPlotType attribute) predictions_vs_observed_plot() (process_improve.multivariate.methods.MBPLS method) prior_knowledge (process_improve.experiments.strategy.models.DOEProblemSpec attribute) PriorKnowledge (class in process_improve.experiments.strategy.models) process_improve.batch.data_input module process_improve.batch.features module process_improve.batch.plotting module process_improve.batch.preprocessing module process_improve.bivariate.methods module process_improve.experiments.analysis module

process_improve.experiments.designs_factorial module process_improve.experiments.evaluate module process_improve.experiments.models module process_improve.experiments.strategy module process_improve.experiments.strategy.budget module process_improve.experiments.strategy.domain_templates module process_improve.experiments.strategy.engine module process_improve.experiments.strategy.models module process_improve.monitoring.control_charts module process_improve.monitoring.metrics module process_improve.multivariate.methods module process_improve.multivariate.plots module process_improve.regression.methods module process_improve.univariate.metrics module process_improve.visualization module process_improve.visualization.adapters.echarts_adapter module process_improve.visualization.adapters.plotly_adapter module process_improve.visualization.spec module process_improve.visualization.types module psi() (in module process_improve.monitoring.control_charts) purpose (process_improve.experiments.strategy.models.ExperimentalStage attribute)

R

r2_ (process_improve.regression.methods.OLS attribute) randomization_test_mbpls() (in module process_improve.multivariate.methods) raw_text (process_improve.experiments.strategy.models.PriorKnowledge attribute) reasoning (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) recommend_strategy() (in module process_improve.experiments.strategy) (in module process_improve.experiments.strategy.engine) reference_band (process_improve.visualization.types.AnnotationType attribute) reference_line (process_improve.visualization.types.AnnotationType attribute) render() (process_improve.visualization.adapters.echarts_adapter.EChartsAdapter method) (process_improve.visualization.adapters.plotly_adapter.PlotlyAdapter method) render_panel() (process_improve.visualization.adapters.echarts_adapter.EChartsAdapter method) (process_improve.visualization.adapters.plotly_adapter.PlotlyAdapter method)

repeated_median_slope() (in module process_improve.regression.methods) resample_to_reference() (in module process_improve.batch.preprocessing) residuals_ (process_improve.regression.methods.OLS attribute) residuals_vs_fitted (process_improve.visualization.types.DOEPlotType attribute) residuals_vs_order (process_improve.visualization.types.DOEPlotType attribute) responses (process_improve.experiments.strategy.models.DOEProblemSpec attribute) results (process_improve.experiments.analysis.AnalysisResult attribute) reverse_scaling() (in module process_improve.batch.preprocessing) rho() (in module process_improve.monitoring.control_charts) ridge_trace (process_improve.visualization.types.DOEPlotType attribute) risks (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) robust_regression() (in module process_improve.regression.methods)

S

scale (process_improve.visualization.spec.Encoding attribute) scale() (in module process_improve.multivariate.methods) ScaleType (class in process_improve.visualization.types) scatter (process_improve.visualization.types.MarkType attribute) score() (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) (process_improve.multivariate.methods.TPLS method) score_contributions() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) score_plot() (in module process_improve.multivariate.plots) se_ (process_improve.regression.methods.OLS attribute) secondary_y (process_improve.visualization.spec.PanelSpec attribute) secondary_y_title (process_improve.visualization.spec.PanelSpec attribute) select_n_components() (process_improve.multivariate.methods.PCA class method) set_score_request() (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.PLS method) (process_improve.multivariate.methods.TPLS method) (process_improve.regression.methods.OLS method) significance_threshold (process_improve.visualization.types.AnnotationType attribute) significance_threshold() (in module process_improve.visualization.spec) Sn() (in module process_improve.univariate.metrics) spe_contributions() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method)

spe_plot() (in module process_improve.multivariate.plots) stage_name (process_improve.experiments.strategy.models.ExperimentalStage attribute) stage_number (process_improve.experiments.strategy.models.ExperimentalStage attribute) stages (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) standard_error_intercept_ (process_improve.regression.methods.OLS attribute) standard_errors_ (process_improve.regression.methods.OLS attribute) steepest_ascent_path (process_improve.visualization.types.DOEPlotType attribute) strategy_id (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) style (process_improve.visualization.spec.Annotation attribute) (process_improve.visualization.spec.LayerSpec attribute) success_criteria (process_improve.experiments.strategy.models.ExperimentalStage attribute) summary() (in module process_improve.experiments.models) (process_improve.experiments.models.Model method) (process_improve.regression.methods.OLS method) summary_stats() (in module process_improve.univariate.metrics) super_loadings_bar_plot() (process_improve.multivariate.methods.MBPCA method) super_score_plot() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) super_spe_limit() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) super_weights_bar_plot() (process_improve.multivariate.methods.MBPLS method) surface (process_improve.visualization.types.MarkType attribute) surface_3d (process_improve.visualization.types.DOEPlotType attribute)

T

t2_plot() (in module process_improve.multivariate.plots) t_value() (in module process_improve.univariate.metrics) t_value_cdf() (in module process_improve.univariate.metrics) t_value_intercept_ (process_improve.regression.methods.OLS attribute) t_values_ (process_improve.regression.methods.OLS attribute) target_name_ (process_improve.regression.methods.OLS attribute) test_normality() (in module process_improve.univariate.metrics) text (process_improve.visualization.types.MarkType attribute) title (process_improve.visualization.spec.ChartSpec attribute) (process_improve.visualization.spec.Encoding attribute) (process_improve.visualization.spec.PanelSpec attribute) to_data_dict() (process_improve.visualization.spec.ChartSpec method) to_dict() (process_improve.regression.methods.OLS method) (process_improve.visualization.spec.ChartSpec method)

total_estimated_runs (process_improve.experiments.strategy.models.ExperimentalStrategy attribute) TPLS (class in process_improve.multivariate.methods) transform() (process_improve.multivariate.methods.MBPCA method) (process_improve.multivariate.methods.MBPLS method) (process_improve.multivariate.methods.MCUVScaler method) (process_improve.multivariate.methods.PCA method) (process_improve.multivariate.methods.PLS method) transition_rules (process_improve.experiments.strategy.models.ExperimentalStage attribute) TransitionRule (class in process_improve.experiments.strategy.models) ttest_independent() (in module process_improve.univariate.metrics) ttest_independent_from_df() (in module process_improve.univariate.metrics) ttest_paired() (in module process_improve.univariate.metrics) ttest_paired_from_df() (in module process_improve.univariate.metrics)

V

value (process_improve.visualization.spec.Annotation attribute) value_end (process_improve.visualization.spec.Annotation attribute)

variance_decomposition() (in module process_improve.univariate.metrics) vip() (process_improve.multivariate.methods.TPLS method)

W

wide_to_dict() (in module process_improve.batch.data_input) wide_to_melted() (in module process_improve.batch.data_input)

width (process_improve.visualization.spec.PanelSpec attribute) wireframe (process_improve.visualization.types.MarkType attribute)

X

x (process_improve.visualization.spec.LayerSpec attribute)

x_title (process_improve.visualization.spec.PanelSpec attribute)

Y

y (process_improve.visualization.spec.LayerSpec attribute)

y_title (process_improve.visualization.spec.PanelSpec attribute)

Z

z (process_improve.visualization.spec.LayerSpec attribute)

z_title (process_improve.visualization.spec.PanelSpec attribute)