PyRCA: A Library for Root Cause Analysis

Anomaly detectors

• pyrca.outliers package
  • pyrca.outliers.base module
    • BaseDetector
      • BaseDetector.config_class
      • BaseDetector.train()
      • BaseDetector.predict()
      • BaseDetector.update_config()
    • DetectorMixin
      • DetectorMixin.check_data_and_train()
    • DetectionResults
      • DetectionResults.anomalous_metrics
      • DetectionResults.anomaly_timestamps
      • DetectionResults.anomaly_labels
      • DetectionResults.anomaly_info
      • DetectionResults.to_dict()
      • DetectionResults.merge()
  • pyrca.outliers.stats module
    • StatsDetectorConfig
      • StatsDetectorConfig.default_sigma
      • StatsDetectorConfig.thres_win_size
      • StatsDetectorConfig.thres_reduce_func
      • StatsDetectorConfig.score_win_size
      • StatsDetectorConfig.anomaly_threshold
      • StatsDetectorConfig.sigmas
      • StatsDetectorConfig.manual_thresholds
      • StatsDetectorConfig.custom_win_sizes
      • StatsDetectorConfig.custom_anomaly_thresholds
    • StatsDetector
      • StatsDetector.config_class
      • StatsDetector.to_dict()
      • StatsDetector.from_dict()
      • StatsDetector.update_bounds()

Algorithms for building topology/causal graphs

• pyrca.graphs package
  • Causal discovery for building causal graphs
    • pyrca.graphs.causal package
      • PC
      • PCConfig
      • GES
      • GESConfig
      • FGES
      • FGESConfig
      • LiNGAM
      • LiNGAMConfig

Supported RCA methods

• pyrca.analyzers package
  • pyrca.analyzers.base module
    • RCAResults
      • RCAResults.root_cause_nodes
      • RCAResults.root_cause_paths
      • RCAResults.to_dict()
      • RCAResults.to_list()
    • BaseRCA
      • BaseRCA.train()
      • BaseRCA.find_root_causes()
  • pyrca.analyzers.bayesian module
    • BayesianNetworkConfig
      • BayesianNetworkConfig.graph
      • BayesianNetworkConfig.sigmas
      • BayesianNetworkConfig.default_sigma
      • BayesianNetworkConfig.thres_win_size
      • BayesianNetworkConfig.thres_reduce_func
      • BayesianNetworkConfig.infer_method
      • BayesianNetworkConfig.root_cause_top_k
    • BayesianNetwork
      • BayesianNetwork.config_class
      • BayesianNetwork.train()
      • BayesianNetwork.add_root_causes()
      • BayesianNetwork.update_probability()
      • BayesianNetwork.find_root_causes()
      • BayesianNetwork.save()
      • BayesianNetwork.load()
      • BayesianNetwork.print_probabilities()
  • pyrca.analyzers.random_walk module
    • RandomWalkConfig
      • RandomWalkConfig.graph
      • RandomWalkConfig.use_partial_corr
      • RandomWalkConfig.rho
      • RandomWalkConfig.num_steps
      • RandomWalkConfig.num_repeats
      • RandomWalkConfig.root_cause_top_k
    • RandomWalk
      • RandomWalk.config_class
      • RandomWalk.train()
      • RandomWalk.find_root_causes()
  • pyrca.analyzers.epsilon_diagnosis module
    • EpsilonDiagnosisConfig
      • EpsilonDiagnosisConfig.alpha
      • EpsilonDiagnosisConfig.bootstrap_time
      • EpsilonDiagnosisConfig.root_cause_top_k
    • EpsilonDiagnosis
      • EpsilonDiagnosis.config_class
      • EpsilonDiagnosis.train()
      • EpsilonDiagnosis.find_root_causes()
  • pyrca.analyzers.rcd module
    • RCDConfig
      • RCDConfig.start_alpha
      • RCDConfig.alpha_step
      • RCDConfig.alpha_limit
      • RCDConfig.localized
      • RCDConfig.gamma
      • RCDConfig.bins
      • RCDConfig.k
      • RCDConfig.f_node
      • RCDConfig.verbose
      • RCDConfig.ci_test
    • RCD
      • RCD.config_class
      • RCD.train()
      • RCD.find_root_causes()
  • pyrca.analyzers.ht module
    • HTConfig
      • HTConfig.graph
      • HTConfig.aggregator
      • HTConfig.root_cause_top_k
    • HT
      • HT.config_class
      • HT.train()
      • HT.find_root_causes()

A visualization tool

• pyrca.tools package

Simulated Data Generation

• pyrca.simulation package
  • DAGGenConfig
    • DAGGenConfig.num_node
    • DAGGenConfig.num_edge
    • DAGGenConfig.rng
  • DAGGen
    • DAGGen.config_class
    • DAGGen.gen()
  • DataGenConfig
    • DataGenConfig.dag
    • DataGenConfig.noise_type
    • DataGenConfig.func_type
    • DataGenConfig.num_samples
    • DataGenConfig.weight_generator
  • DataGen
    • DataGen.config_class
    • DataGen.gen()
  • AnomalyDataGenConfig
    • AnomalyDataGenConfig.parent_weights
    • AnomalyDataGenConfig.noise_weights
    • AnomalyDataGenConfig.noise_type
    • AnomalyDataGenConfig.func_type
    • AnomalyDataGenConfig.baseline
    • AnomalyDataGenConfig.threshold
    • AnomalyDataGenConfig.num_samples
    • AnomalyDataGenConfig.anomaly_type
    • AnomalyDataGenConfig.weight_generator
  • AnomalyDataGen
    • AnomalyDataGen.config_class
    • AnomalyDataGen.gen()