Index

_

__init__() (causalai.application.distribution_shift_detection.TabularDistributionShiftDetector method) (causalai.application.root_cause_detection.RootCauseDetector method) (causalai.benchmark.tabular.base.BenchmarkContinuousTabularBase method) (causalai.benchmark.tabular.base.BenchmarkDiscreteTabularBase method) (causalai.benchmark.tabular.base.BenchmarkTabularBase method) (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.tabular.discrete.BenchmarkDiscreteTabular method) (causalai.benchmark.time_series.base.BenchmarkContinuousTimeSeriesBase method) (causalai.benchmark.time_series.base.BenchmarkDiscreteTimeSeriesBase method) (causalai.benchmark.time_series.base.BenchmarkTimeSeriesBase method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) (causalai.benchmark.time_series.discrete.BenchmarkDiscreteTimeSeries method) (causalai.data.base.BaseData method) (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method) (causalai.data.transforms.base.BaseTransform method) (causalai.data.transforms.tabular.StandardizeTransform method) (causalai.data.transforms.time_series.DifferenceTransform method) (causalai.data.transforms.time_series.StandardizeTransform method) (causalai.models.common.CI_tests.discrete_ci_tests.DiscreteCI_tests method) (causalai.models.common.CI_tests.kci.KCI method) (causalai.models.common.CI_tests.kernels.GaussianKernel method) (causalai.models.common.CI_tests.kernels.KernelBase method) (causalai.models.common.CI_tests.kernels.LinearKernel method) (causalai.models.common.CI_tests.partial_correlation.PartialCorrelation method) (causalai.models.common.prior_knowledge.PriorKnowledge method) (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.tabular.base.BaseTabularAlgoFull method) (causalai.models.tabular.causal_inference.CausalInference method) (causalai.models.tabular.ges.GES method) (causalai.models.tabular.gin.GIN method) (causalai.models.tabular.grow_shrink.GrowShrink method) (causalai.models.tabular.lingam.LINGAM method) (causalai.models.tabular.pc.PC method) (causalai.models.tabular.pc.PCSingle method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgoFull method) (causalai.models.time_series.causal_inference.CausalInference method) (causalai.models.time_series.granger.Granger method) (causalai.models.time_series.granger.GrangerSingle method) (causalai.models.time_series.pc.PC method) (causalai.models.time_series.pc.PCSingle method) (causalai.models.time_series.var_lingam.VARLINGAM method)

A

aggregate_results() (causalai.benchmark.tabular.base.BenchmarkTabularBase method) (causalai.benchmark.time_series.base.BenchmarkTimeSeriesBase method) ate() (causalai.models.tabular.causal_inference.CausalInference method) (causalai.models.time_series.causal_inference.CausalInference method)

ate_backdoor() (causalai.models.tabular.causal_inference.CausalInference method) ate_causal_path() (causalai.models.tabular.causal_inference.CausalInference method) (causalai.models.time_series.causal_inference.CausalInference method)

B

BaseData (class in causalai.data.base) BaseTabularAlgo (class in causalai.models.tabular.base) BaseTabularAlgoFull (class in causalai.models.tabular.base) BaseTimeSeriesAlgo (class in causalai.models.time_series.base) BaseTimeSeriesAlgoFull (class in causalai.models.time_series.base) BaseTransform (class in causalai.data.transforms.base) bechmark_custom_dataset() (causalai.benchmark.tabular.base.BenchmarkTabularBase method) (causalai.benchmark.time_series.base.BenchmarkTimeSeriesBase method) benchmark_data_max_lag() (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) (causalai.benchmark.time_series.discrete.BenchmarkDiscreteTimeSeries method) benchmark_graph_density() (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.tabular.discrete.BenchmarkDiscreteTabular method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) (causalai.benchmark.time_series.discrete.BenchmarkDiscreteTimeSeries method) benchmark_noise_type() (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) benchmark_sample_complexity() (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.tabular.discrete.BenchmarkDiscreteTabular method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) (causalai.benchmark.time_series.discrete.BenchmarkDiscreteTimeSeries method)

benchmark_snr() (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) benchmark_variable_complexity() (causalai.benchmark.tabular.continuous.BenchmarkContinuousTabular method) (causalai.benchmark.tabular.discrete.BenchmarkDiscreteTabular method) (causalai.benchmark.time_series.continuous.BenchmarkContinuousTimeSeries method) (causalai.benchmark.time_series.discrete.BenchmarkDiscreteTimeSeries method) BenchmarkContinuousTabular (class in causalai.benchmark.tabular.continuous) BenchmarkContinuousTabularBase (class in causalai.benchmark.tabular.base) BenchmarkContinuousTimeSeries (class in causalai.benchmark.time_series.continuous) BenchmarkContinuousTimeSeriesBase (class in causalai.benchmark.time_series.base) BenchmarkDiscreteTabular (class in causalai.benchmark.tabular.discrete) BenchmarkDiscreteTabularBase (class in causalai.benchmark.tabular.base) BenchmarkDiscreteTimeSeries (class in causalai.benchmark.time_series.discrete) BenchmarkDiscreteTimeSeriesBase (class in causalai.benchmark.time_series.base) BenchmarkTabularBase (class in causalai.benchmark.tabular.base) BenchmarkTimeSeriesBase (class in causalai.benchmark.time_series.base)

C

cate() (causalai.models.tabular.causal_inference.CausalInference method) (causalai.models.time_series.causal_inference.CausalInference method) causalai.application module, [1] causalai.application.distribution_shift_detection module causalai.application.root_cause_detection module causalai.benchmark.tabular module, [1], [2] causalai.benchmark.tabular.base module, [1], [2] causalai.benchmark.tabular.continuous module causalai.benchmark.tabular.discrete module causalai.benchmark.time_series module, [1], [2] causalai.benchmark.time_series.base module, [1], [2] causalai.benchmark.time_series.continuous module causalai.benchmark.time_series.discrete module causalai.data module, [1], [2], [3] causalai.data.data_generator module causalai.data.transforms module, [1], [2] causalai.misc module causalai.misc.misc module

causalai.models.common module causalai.models.common.CI_tests module, [1], [2], [3] causalai.models.common.CI_tests.discrete_ci_tests module causalai.models.tabular module, [1], [2], [3], [4], [5], [6] causalai.models.tabular.ges module causalai.models.tabular.gin module causalai.models.tabular.grow_shrink module causalai.models.tabular.lingam module causalai.models.tabular.pc module causalai.models.time_series module, [1], [2], [3], [4] causalai.models.time_series.granger module causalai.models.time_series.pc module causalai.models.time_series.var_lingam module CausalInference (class in causalai.models.tabular.causal_inference) (class in causalai.models.time_series.causal_inference) centered_kernel() (causalai.models.common.CI_tests.kernels.KernelBase static method) collect_children() (causalai.models.common.prior_knowledge.PriorKnowledge method) ConditionalDataGenerator() (in module causalai.data.data_generator) counterfactual() (causalai.models.tabular.causal_inference.CausalInference method) (causalai.models.time_series.causal_inference.CausalInference method)

D

DataGenerator() (in module causalai.data.data_generator) DifferenceTransform (class in causalai.data.transforms.time_series)

dim (causalai.data.base.BaseData property) DiscreteCI_tests (class in causalai.models.common.CI_tests.discrete_ci_tests), [1]

E

extract_array() (causalai.data.base.BaseData method) (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method)

F

fit() (causalai.data.transforms.base.BaseTransform method) (causalai.data.transforms.tabular.StandardizeTransform method) (causalai.data.transforms.time_series.DifferenceTransform method) (causalai.data.transforms.time_series.StandardizeTransform method)

G

GaussianKernel (class in causalai.models.common.CI_tests.kernels) GenerateRandomTabularSEM() (in module causalai.data.data_generator) GenerateRandomTimeseriesSEM() (in module causalai.data.data_generator) GenerateSparseTabularSEM() (in module causalai.data.data_generator) GenerateSparseTimeSeriesSEM() (in module causalai.data.data_generator) GES (class in causalai.models.tabular.ges) get_all_parents() (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method) get_candidate_mb() (causalai.models.tabular.base.BaseTabularAlgo method) get_candidate_parents() (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method) get_causal_Xy() (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method) get_causal_Xy_i() (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method) get_correlation() (causalai.models.common.CI_tests.partial_correlation.PartialCorrelation method)

get_parents() (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.tabular.base.BaseTabularAlgoFull method) (causalai.models.tabular.lingam.LINGAM method) (causalai.models.tabular.pc.PC method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgoFull method) (causalai.models.time_series.granger.Granger method) (causalai.models.time_series.pc.PC method) (causalai.models.time_series.var_lingam.VARLINGAM method) get_precision_recall() (in module causalai.misc.misc) get_precision_recall_skeleton() (in module causalai.misc.misc) get_pvalue() (causalai.models.common.CI_tests.partial_correlation.PartialCorrelation method) GIN (class in causalai.models.tabular.gin) Granger (class in causalai.models.time_series.granger) GrangerSingle (class in causalai.models.time_series.granger) GrowShrink (class in causalai.models.tabular.grow_shrink)

I

index2var_name() (causalai.data.base.BaseData method)

isValid() (causalai.models.common.prior_knowledge.PriorKnowledge method) isValid_co_parent() (causalai.models.common.prior_knowledge.PriorKnowledge method)

K

KCI (class in causalai.models.common.CI_tests.kci) kernel() (causalai.models.common.CI_tests.kernels.GaussianKernel method) (causalai.models.common.CI_tests.kernels.KernelBase method) (causalai.models.common.CI_tests.kernels.LinearKernel method)

kernel_matrix_regression() (causalai.models.common.CI_tests.kernels.KernelBase method) KernelBase (class in causalai.models.common.CI_tests.kernels)

L

length (causalai.data.base.BaseData property)

LinearKernel (class in causalai.models.common.CI_tests.kernels) LINGAM (class in causalai.models.tabular.lingam)

M

make_symmetric() (in module causalai.misc.misc) module causalai.application, [1] causalai.application.distribution_shift_detection causalai.application.root_cause_detection causalai.benchmark.tabular, [1], [2] causalai.benchmark.tabular.base, [1], [2] causalai.benchmark.tabular.continuous causalai.benchmark.tabular.discrete causalai.benchmark.time_series, [1], [2] causalai.benchmark.time_series.base, [1], [2] causalai.benchmark.time_series.continuous causalai.benchmark.time_series.discrete causalai.data, [1], [2], [3] causalai.data.data_generator causalai.data.transforms, [1], [2] causalai.misc causalai.misc.misc causalai.models.common causalai.models.common.CI_tests, [1], [2], [3] causalai.models.common.CI_tests.discrete_ci_tests causalai.models.tabular, [1], [2], [3], [4], [5], [6] causalai.models.tabular.ges causalai.models.tabular.gin causalai.models.tabular.grow_shrink causalai.models.tabular.lingam causalai.models.tabular.pc causalai.models.time_series, [1], [2], [3], [4] causalai.models.time_series.granger causalai.models.time_series.pc causalai.models.time_series.var_lingam

P

PartialCorrelation (class in causalai.models.common.CI_tests.partial_correlation) PC (class in causalai.models.tabular.pc) (class in causalai.models.time_series.pc) PCSingle (class in causalai.models.tabular.pc) (class in causalai.models.time_series.pc)

plot() (causalai.benchmark.tabular.base.BenchmarkTabularBase method) (causalai.benchmark.time_series.base.BenchmarkTimeSeriesBase method) plot_graph() (in module causalai.misc.misc) post_process_tabular() (causalai.models.common.prior_knowledge.PriorKnowledge method) PriorKnowledge (class in causalai.models.common.prior_knowledge)

R

required() (causalai.models.common.prior_knowledge.PriorKnowledge method) RootCauseDetector (class in causalai.application.root_cause_detection) run() (causalai.application.distribution_shift_detection.TabularDistributionShiftDetector method) (causalai.application.root_cause_detection.RootCauseDetector method) (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.tabular.base.BaseTabularAlgoFull method) (causalai.models.tabular.ges.GES method) (causalai.models.tabular.gin.GIN method) (causalai.models.tabular.grow_shrink.GrowShrink method) (causalai.models.tabular.lingam.LINGAM method) (causalai.models.tabular.pc.PC method) (causalai.models.tabular.pc.PCSingle method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgoFull method) (causalai.models.time_series.granger.Granger method) (causalai.models.time_series.granger.GrangerSingle method) (causalai.models.time_series.pc.PC method) (causalai.models.time_series.pc.PCSingle method) (causalai.models.time_series.var_lingam.VARLINGAM method)

run_test() (causalai.models.common.CI_tests.discrete_ci_tests.DiscreteCI_tests method), [1] (causalai.models.common.CI_tests.kci.KCI method) (causalai.models.common.CI_tests.partial_correlation.PartialCorrelation method)

S

sanity_check() (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method) sort_parents() (causalai.models.tabular.base.BaseTabularAlgo method) (causalai.models.time_series.base.BaseTimeSeriesAlgo method)

StandardizeTransform (class in causalai.data.transforms.tabular) (class in causalai.data.transforms.time_series)

T

TabularData (class in causalai.data.tabular) TabularDistributionShiftDetector (class in causalai.application.distribution_shift_detection) TimeSeriesData (class in causalai.data.time_series) to_var_index() (causalai.data.tabular.TabularData method) (causalai.data.time_series.TimeSeriesData method)

transform() (causalai.data.transforms.base.BaseTransform method) (causalai.data.transforms.tabular.StandardizeTransform method) (causalai.data.transforms.time_series.DifferenceTransform method) (causalai.data.transforms.time_series.StandardizeTransform method)

V

var_name2index() (causalai.data.base.BaseData method)

VARLINGAM (class in causalai.models.time_series.var_lingam)