Index

A

AbstractCallback (class in ema_workbench.em_framework.callbacks) AbstractModel (class in ema_workbench.em_framework.model) AbstractOutcome (class in ema_workbench.em_framework.outcomes) AbstractSampler (class in ema_workbench.em_framework.samplers) apply_agglomerative_clustering() (in module ema_workbench.analysis.clusterer) ArchiveLogger (class in ema_workbench.em_framework.optimization)

ArrayOutcome (class in ema_workbench.em_framework.outcomes) as_dict() (ema_workbench.em_framework.model.AbstractModel method) (ema_workbench.em_framework.model.FileModel method) AutoAdaptiveOutputSpaceExploration (class in ema_workbench.em_framework.outputspace_exploration) axes (ema_workbench.analysis.parcoords.ParallelAxes attribute) axis_labels (ema_workbench.analysis.parcoords.ParallelAxes attribute)

B

BINARY (ema_workbench.analysis.scenario_discovery_util.RuleInductionType attribute) BooleanParameter (class in ema_workbench.em_framework.parameters) box_lims (ema_workbench.analysis.prim.PrimBox attribute) BOXENPLOT (ema_workbench.analysis.plotting_util.Density attribute)

boxes (ema_workbench.analysis.cart.CART attribute) (ema_workbench.analysis.cart.CART property) (ema_workbench.analysis.prim.Prim property) BOXPLOT (ema_workbench.analysis.plotting_util.Density attribute) build_tree() (ema_workbench.analysis.cart.CART method)

C

calculate_cid() (in module ema_workbench.analysis.clusterer) CART (class in ema_workbench.analysis.cart) CaseError cat_for_index() (ema_workbench.em_framework.parameters.CategoricalParameter method) CategoricalParameter (class in ema_workbench.em_framework.parameters) CHI2() (in module ema_workbench.analysis.feature_scoring) CLASSIFICATION (ema_workbench.analysis.scenario_discovery_util.RuleInductionType attribute) cleanup() (ema_workbench.em_framework.model.AbstractModel method) COLOR_LIST (in module ema_workbench.analysis.plotting_util)

combine() (in module ema_workbench.em_framework.util) combine_cases_factorial() (in module ema_workbench.em_framework.points) combine_cases_sampling() (in module ema_workbench.em_framework.points) Constant (class in ema_workbench.em_framework.parameters) Constraint (class in ema_workbench.em_framework.outcomes) Convergence (class in ema_workbench.em_framework.optimization) Counter (class in ema_workbench.em_framework.util) coverage (ema_workbench.analysis.logistic_regression.Logit attribute) (ema_workbench.analysis.prim.PrimBox attribute) create_pivot_plot() (in module ema_workbench.analysis.dimensional_stacking)

D

datalabels (ema_workbench.analysis.parcoords.ParallelAxes attribute) DefaultCallback (class in ema_workbench.em_framework.callbacks) DefaultDesigns (class in ema_workbench.em_framework.samplers) Density (class in ema_workbench.analysis.plotting_util) density (ema_workbench.analysis.logistic_regression.Logit attribute) (ema_workbench.analysis.prim.PrimBox attribute) determine_coi() (ema_workbench.analysis.prim.Prim method)

determine_nr_of_designs() (ema_workbench.em_framework.samplers.FullFactorialSampler method) determine_objects() (in module ema_workbench.em_framework.util) determine_parameters() (in module ema_workbench.em_framework.samplers) drop_restriction() (ema_workbench.analysis.prim.PrimBox method) dtype (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute)

E

ema_workbench.analysis.b_and_w_plotting module ema_workbench.analysis.cart module ema_workbench.analysis.clusterer module ema_workbench.analysis.dimensional_stacking module ema_workbench.analysis.feature_scoring module ema_workbench.analysis.logistic_regression module ema_workbench.analysis.pairs_plotting module ema_workbench.analysis.parcoords module ema_workbench.analysis.plotting module ema_workbench.analysis.plotting_util module ema_workbench.analysis.prim module ema_workbench.analysis.regional_sa module ema_workbench.analysis.scenario_discovery_util module ema_workbench.connectors.excel module ema_workbench.em_framework.callbacks module ema_workbench.em_framework.evaluators module ema_workbench.em_framework.experiment_runner module ema_workbench.em_framework.futures_ipyparallel module ema_workbench.em_framework.futures_mpi module ema_workbench.em_framework.futures_multiprocessing module ema_workbench.em_framework.futures_util module ema_workbench.em_framework.model module

ema_workbench.em_framework.optimization module ema_workbench.em_framework.outcomes module ema_workbench.em_framework.outputspace_exploration module ema_workbench.em_framework.parameters module ema_workbench.em_framework.points module ema_workbench.em_framework.salib_samplers module ema_workbench.em_framework.samplers module ema_workbench.em_framework.util module ema_workbench.util.ema_exceptions module ema_workbench.util.ema_logging module ema_workbench.util.utilities module EMAError EMAParallelError EMAWarning ENV_LIN (ema_workbench.analysis.plotting_util.PlotType attribute) ENVELOPE (ema_workbench.analysis.plotting_util.PlotType attribute) envelopes() (in module ema_workbench.analysis.plotting) epsilon_nondominated() (in module ema_workbench.em_framework.optimization) EpsilonIndicatorMetric (class in ema_workbench.em_framework.optimization) EpsilonProgress (class in ema_workbench.em_framework.optimization) evaluate_experiments() (ema_workbench.em_framework.evaluators.SequentialEvaluator method) (ema_workbench.em_framework.futures_ipyparallel.IpyparallelEvaluator method) (ema_workbench.em_framework.futures_mpi.MPIEvaluator method) (ema_workbench.em_framework.futures_multiprocessing.MultiprocessingEvaluator method) ExcelModel (class in ema_workbench.connectors.excel) expected_range (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute) Experiment (class in ema_workbench.em_framework.points) experiment_generator() (in module ema_workbench.em_framework.points) experiment_id (ema_workbench.em_framework.points.Experiment attribute) ExperimentReplication (class in ema_workbench.em_framework.points) ExperimentRunner (class in ema_workbench.em_framework.experiment_runner)

F

F_CLASSIFICATION() (in module ema_workbench.analysis.feature_scoring) F_REGRESSION() (in module ema_workbench.analysis.feature_scoring) FASTSampler (class in ema_workbench.em_framework.salib_samplers) fig (ema_workbench.analysis.parcoords.ParallelAxes attribute) FileBasedCallback (class in ema_workbench.em_framework.callbacks) FileModel (class in ema_workbench.em_framework.model) finalize() (ema_workbench.em_framework.evaluators.SequentialEvaluator method) (ema_workbench.em_framework.futures_ipyparallel.IpyparallelEvaluator method) (ema_workbench.em_framework.futures_mpi.MPIEvaluator method) (ema_workbench.em_framework.futures_multiprocessing.MultiprocessingEvaluator method) finalizer() (in module ema_workbench.em_framework.futures_util) find_box() (ema_workbench.analysis.prim.Prim method) flipped_axes (ema_workbench.analysis.parcoords.ParallelAxes attribute) fontsize (ema_workbench.analysis.parcoords.ParallelAxes attribute)

from_disk() (ema_workbench.em_framework.outcomes.AbstractOutcome class method) (ema_workbench.em_framework.outcomes.ArrayOutcome class method) (ema_workbench.em_framework.outcomes.ScalarOutcome class method) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome class method) from_dist() (ema_workbench.em_framework.parameters.CategoricalParameter method) (ema_workbench.em_framework.parameters.IntegerParameter class method) (ema_workbench.em_framework.parameters.Parameter class method) (ema_workbench.em_framework.parameters.RealParameter class method) FullFactorialSampler (class in ema_workbench.em_framework.samplers) function (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.Constraint attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute)

G

generate_designs() (ema_workbench.em_framework.samplers.AbstractSampler method) (ema_workbench.em_framework.samplers.FullFactorialSampler method) generate_samples() (ema_workbench.em_framework.samplers.AbstractSampler method) (ema_workbench.em_framework.samplers.FullFactorialSampler method) (ema_workbench.em_framework.samplers.UniformLHSSampler method) GenerationalDistanceMetric (class in ema_workbench.em_framework.optimization) get_ex_feature_scores() (in module ema_workbench.analysis.feature_scoring) get_feature_scores_all() (in module ema_workbench.analysis.feature_scoring)

get_limits() (in module ema_workbench.analysis.parcoords) get_results() (ema_workbench.em_framework.callbacks.AbstractCallback method) (ema_workbench.em_framework.callbacks.DefaultCallback method) (ema_workbench.em_framework.callbacks.FileBasedCallback method) get_rf_feature_scores() (in module ema_workbench.analysis.feature_scoring) get_rootlogger() (in module ema_workbench.util.ema_logging) get_SALib_problem() (in module ema_workbench.em_framework.salib_samplers) get_univariate_feature_scores() (in module ema_workbench.analysis.feature_scoring)

H

HIST (ema_workbench.analysis.plotting_util.Density attribute)

HypervolumeMetric (class in ema_workbench.em_framework.optimization)

I

i (ema_workbench.em_framework.callbacks.AbstractCallback attribute) (ema_workbench.em_framework.util.ProgressTrackingMixIn attribute) id (ema_workbench.em_framework.points.Policy attribute) (ema_workbench.em_framework.points.Scenario attribute) index_for_cat() (ema_workbench.em_framework.parameters.CategoricalParameter method) initialize() (ema_workbench.em_framework.evaluators.SequentialEvaluator method) (ema_workbench.em_framework.futures_ipyparallel.IpyparallelEvaluator method) (ema_workbench.em_framework.futures_mpi.MPIEvaluator method) (ema_workbench.em_framework.futures_multiprocessing.MultiprocessingEvaluator method)

initialized() (ema_workbench.em_framework.model.AbstractModel method) inspect() (ema_workbench.analysis.logistic_regression.Logit method) (ema_workbench.analysis.prim.PrimBox method) IntegerParameter (class in ema_workbench.em_framework.parameters) invert_axis() (ema_workbench.analysis.parcoords.ParallelAxes method) InvertedGenerationalDistanceMetric (class in ema_workbench.em_framework.optimization) IpyparallelEvaluator (class in ema_workbench.em_framework.futures_ipyparallel)

K

KDE (ema_workbench.analysis.plotting_util.Density attribute) kde_over_time() (in module ema_workbench.analysis.plotting) kind (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute)

L

legend() (ema_workbench.analysis.parcoords.ParallelAxes method) LegendEnum (class in ema_workbench.analysis.plotting_util) levers (ema_workbench.em_framework.model.AbstractModel attribute) LHSSampler (class in ema_workbench.em_framework.samplers) limits (ema_workbench.analysis.parcoords.ParallelAxes attribute) LINES (ema_workbench.analysis.plotting_util.PlotType attribute)

lines() (in module ema_workbench.analysis.plotting) load_archives() (ema_workbench.em_framework.optimization.ArchiveLogger class method) load_results() (in module ema_workbench.util.utilities) log_func (ema_workbench.em_framework.util.ProgressTrackingMixIn attribute) log_progress (ema_workbench.em_framework.util.ProgressTrackingMixIn attribute) log_to_stderr() (in module ema_workbench.util.ema_logging) Logit (class in ema_workbench.analysis.logistic_regression)

M

mass (ema_workbench.analysis.prim.PrimBox attribute) mean (ema_workbench.analysis.prim.PrimBox attribute) merge_results() (in module ema_workbench.util.utilities) Model (class in ema_workbench.em_framework.model) model_init() (ema_workbench.em_framework.model.AbstractModel method) model_kwargs (ema_workbench.em_framework.experiment_runner.ExperimentRunner attribute) model_name (ema_workbench.em_framework.points.Experiment attribute) models (ema_workbench.analysis.logistic_regression.Logit attribute) module ema_workbench.analysis.b_and_w_plotting ema_workbench.analysis.cart ema_workbench.analysis.clusterer ema_workbench.analysis.dimensional_stacking ema_workbench.analysis.feature_scoring ema_workbench.analysis.logistic_regression ema_workbench.analysis.pairs_plotting ema_workbench.analysis.parcoords ema_workbench.analysis.plotting ema_workbench.analysis.plotting_util ema_workbench.analysis.prim ema_workbench.analysis.regional_sa ema_workbench.analysis.scenario_discovery_util ema_workbench.connectors.excel ema_workbench.em_framework.callbacks ema_workbench.em_framework.evaluators ema_workbench.em_framework.experiment_runner ema_workbench.em_framework.futures_ipyparallel ema_workbench.em_framework.futures_mpi ema_workbench.em_framework.futures_multiprocessing ema_workbench.em_framework.futures_util ema_workbench.em_framework.model ema_workbench.em_framework.optimization ema_workbench.em_framework.outcomes ema_workbench.em_framework.outputspace_exploration ema_workbench.em_framework.parameters ema_workbench.em_framework.points ema_workbench.em_framework.salib_samplers ema_workbench.em_framework.samplers ema_workbench.em_framework.util ema_workbench.util.ema_exceptions ema_workbench.util.ema_logging ema_workbench.util.utilities

MonteCarloSampler (class in ema_workbench.em_framework.samplers) MorrisSampler (class in ema_workbench.em_framework.salib_samplers) MPIEvaluator (class in ema_workbench.em_framework.futures_mpi) msi_initializiation (ema_workbench.em_framework.experiment_runner.ExperimentRunner attribute) msis (ema_workbench.em_framework.experiment_runner.ExperimentRunner attribute) multiple_densities() (in module ema_workbench.analysis.plotting) MultiprocessingEvaluator (class in ema_workbench.em_framework.futures_multiprocessing)

N

name (ema_workbench.em_framework.model.AbstractModel attribute) (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.Constraint attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute) (ema_workbench.em_framework.points.Experiment attribute) (ema_workbench.em_framework.points.Policy attribute) (ema_workbench.em_framework.points.Scenario attribute)

NamedDict (class in ema_workbench.em_framework.util) nr_experiments (ema_workbench.em_framework.callbacks.AbstractCallback attribute)

O

OperatorProbabilities (class in ema_workbench.em_framework.optimization) optimize() (in module ema_workbench.em_framework.evaluators) outcome_names (ema_workbench.em_framework.outcomes.Constraint attribute)

outcomes (ema_workbench.em_framework.callbacks.AbstractCallback attribute) (ema_workbench.em_framework.model.AbstractModel attribute) output (ema_workbench.em_framework.model.AbstractModel attribute) OutputSpaceExploration (class in ema_workbench.em_framework.outputspace_exploration)

P

pairs_density() (in module ema_workbench.analysis.pairs_plotting) pairs_lines() (in module ema_workbench.analysis.pairs_plotting) pairs_scatter() (in module ema_workbench.analysis.pairs_plotting) ParallelAxes (class in ema_workbench.analysis.parcoords) Parameter (class in ema_workbench.em_framework.parameters) parameter_names (ema_workbench.em_framework.outcomes.Constraint attribute) parameters (ema_workbench.em_framework.callbacks.AbstractCallback attribute) parameters_from_csv() (in module ema_workbench.em_framework.parameters) parameters_to_csv() (in module ema_workbench.em_framework.parameters) pbar (ema_workbench.em_framework.util.ProgressTrackingMixIn attribute) pca_preprocess() (in module ema_workbench.analysis.prim) peeling_trajectory (ema_workbench.analysis.logistic_regression.Logit attribute) (ema_workbench.analysis.prim.PrimBox attribute) perform_experiments() (in module ema_workbench.em_framework.evaluators)

plot() (ema_workbench.analysis.parcoords.ParallelAxes method) plot_cdfs() (in module ema_workbench.analysis.regional_sa) plot_dendrogram() (in module ema_workbench.analysis.clusterer) plot_pairwise_scatter() (ema_workbench.analysis.logistic_regression.Logit method) PlotType (class in ema_workbench.analysis.plotting_util) Point (class in ema_workbench.em_framework.points) Policy (class in ema_workbench.em_framework.points) policy (ema_workbench.em_framework.points.Experiment attribute) Prim (class in ema_workbench.analysis.prim) PrimBox (class in ema_workbench.analysis.prim) PRIMObjectiveFunctions (class in ema_workbench.analysis.prim) Problem (class in ema_workbench.em_framework.optimization) process_replications() (in module ema_workbench.util.utilities) ProgressTrackingMixIn (class in ema_workbench.em_framework.util)

R

RealParameter (class in ema_workbench.em_framework.parameters) rebuild_platypus_population() (in module ema_workbench.em_framework.optimization) recoding (ema_workbench.analysis.parcoords.ParallelAxes attribute) REGRESSION (ema_workbench.analysis.scenario_discovery_util.RuleInductionType attribute) Replicator (class in ema_workbench.em_framework.model) ReplicatorModel (class in ema_workbench.em_framework.model) reporting_interval (ema_workbench.em_framework.callbacks.AbstractCallback attribute) (ema_workbench.em_framework.util.ProgressTrackingMixIn attribute) representation() (in module ema_workbench.em_framework.util) res_dim (ema_workbench.analysis.logistic_regression.Logit attribute) (ema_workbench.analysis.prim.PrimBox attribute)

resample() (ema_workbench.analysis.prim.PrimBox method) reset_model() (ema_workbench.em_framework.model.AbstractModel method) retrieve_output() (ema_workbench.em_framework.model.AbstractModel method) RobustProblem (class in ema_workbench.em_framework.optimization) RuleInductionType (class in ema_workbench.analysis.scenario_discovery_util) run() (ema_workbench.analysis.logistic_regression.Logit method) run_constrained_prim() (in module ema_workbench.analysis.prim) run_experiment() (ema_workbench.em_framework.experiment_runner.ExperimentRunner method) run_model() (ema_workbench.em_framework.model.AbstractModel method) (ema_workbench.em_framework.model.Replicator method) (ema_workbench.em_framework.model.SingleReplication method)

S

sample() (ema_workbench.em_framework.samplers.AbstractSampler method) (ema_workbench.em_framework.samplers.LHSSampler method) (ema_workbench.em_framework.samplers.MonteCarloSampler method) sample_levers() (in module ema_workbench.em_framework.samplers) sample_parameters() (in module ema_workbench.em_framework.samplers) sample_uncertainties() (in module ema_workbench.em_framework.samplers) Samplers (class in ema_workbench.em_framework.evaluators) save_results() (in module ema_workbench.util.utilities) ScalarOutcome (class in ema_workbench.em_framework.outcomes) Scenario (class in ema_workbench.em_framework.points) scenario (ema_workbench.em_framework.points.Experiment attribute) select() (ema_workbench.analysis.prim.PrimBox method) SequentialEvaluator (class in ema_workbench.em_framework.evaluators) set_fig_to_bw() (in module ema_workbench.analysis.b_and_w_plotting) setup_cart() (in module ema_workbench.analysis.cart) setup_prim() (in module ema_workbench.analysis.prim)

setup_working_directories() (in module ema_workbench.em_framework.futures_util) shape (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute) show_pairs_scatter() (ema_workbench.analysis.prim.PrimBox method) show_ppt() (ema_workbench.analysis.prim.PrimBox method) show_threshold_tradeoff() (ema_workbench.analysis.logistic_regression.Logit method) show_tradeoff() (ema_workbench.analysis.logistic_regression.Logit method) (ema_workbench.analysis.prim.PrimBox method) show_tree() (ema_workbench.analysis.cart.CART method) SingleReplication (class in ema_workbench.em_framework.model) SobolSampler (class in ema_workbench.em_framework.salib_samplers) SpacingMetric (class in ema_workbench.em_framework.optimization) stats (ema_workbench.analysis.cart.CART attribute) (ema_workbench.analysis.cart.CART property) (ema_workbench.analysis.prim.Prim property)

T

temporary_filter() (in module ema_workbench.util.ema_logging) ticklabels (ema_workbench.analysis.parcoords.ParallelAxes attribute) TimeSeriesOutcome (class in ema_workbench.em_framework.outcomes) to_disk() (ema_workbench.em_framework.outcomes.AbstractOutcome class method) (ema_workbench.em_framework.outcomes.ArrayOutcome class method) (ema_workbench.em_framework.outcomes.ScalarOutcome class method) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome class method)

to_problem() (in module ema_workbench.em_framework.optimization) to_robust_problem() (in module ema_workbench.em_framework.optimization)

U

uncertainties (ema_workbench.em_framework.model.AbstractModel attribute) UniformLHSSampler (class in ema_workbench.em_framework.samplers)

update() (ema_workbench.analysis.logistic_regression.Logit method) (ema_workbench.analysis.prim.PrimBox method)

V

variable_name (ema_workbench.em_framework.outcomes.AbstractOutcome attribute) (ema_workbench.em_framework.outcomes.ArrayOutcome attribute) (ema_workbench.em_framework.outcomes.ScalarOutcome attribute) (ema_workbench.em_framework.outcomes.TimeSeriesOutcome attribute)

VIOLIN (ema_workbench.analysis.plotting_util.Density attribute)

W

write_ppt_to_stdout() (ema_workbench.analysis.prim.PrimBox method)