API reference

• coniferest package
  • Subpackages
    • coniferest.datasets package
      • non_anomalous_outliers()
      • plasticc_gp()
      • single_outlier()
      • ztf_m31()
    • coniferest.session package
      • Session
      • Submodules
      • coniferest.session.callback module
      • coniferest.session.oracle module
    • coniferest.sklearn package
      • Submodules
      • coniferest.sklearn.isoforest module
  • Submodules
  • coniferest.aadforest module
    • AADForest
      • AADForest.apply()
      • AADForest.feature_importance()
      • AADForest.feature_signature()
      • AADForest.fit()
      • AADForest.fit_known()
      • AADForest.score_samples()
  • coniferest.calc_paths_sum module
  • coniferest.coniferest module
    • Coniferest
      • Coniferest.build_one_tree()
      • Coniferest.build_trees()
      • Coniferest.feature_importance()
      • Coniferest.feature_signature()
      • Coniferest.fit()
      • Coniferest.fit_known()
      • Coniferest.score_samples()
    • ConiferestEvaluator
      • ConiferestEvaluator.extract_selectors()
  • coniferest.evaluator module
    • ForestEvaluator
      • ForestEvaluator.apply()
      • ForestEvaluator.average_path_length()
      • ForestEvaluator.batch_size
      • ForestEvaluator.combine_selectors()
      • ForestEvaluator.feature_importance()
      • ForestEvaluator.feature_signature()
      • ForestEvaluator.n_leaves
      • ForestEvaluator.n_trees
      • ForestEvaluator.score_samples()
      • ForestEvaluator.selector_dtype
  • coniferest.experiment module
  • coniferest.isoforest module
    • IsolationForest
      • IsolationForest.apply()
      • IsolationForest.feature_importance()
      • IsolationForest.feature_signature()
      • IsolationForest.fit()
      • IsolationForest.fit_known()
      • IsolationForest.score_samples()
  • coniferest.label module
    • Label
      • Label.A
      • Label.ANOMALY
      • Label.R
      • Label.REGULAR
      • Label.U
      • Label.UNKNOWN
  • coniferest.limeforest module
    • LimeEvaluator
      • LimeEvaluator.extract_selectors()
    • RandomLime
      • RandomLime.paths()
    • RandomLimeForest
      • RandomLimeForest.fit()
      • RandomLimeForest.mean_paths()
      • RandomLimeForest.scores()
    • RandomLimeGenerator
  • coniferest.pineforest module
    • PineForest
      • PineForest.apply()
      • PineForest.feature_importance()
      • PineForest.feature_signature()
      • PineForest.filter_trees()
      • PineForest.fit()
      • PineForest.fit_known()
      • PineForest.score_samples()
  • coniferest.utils module
    • average_path_length()