logai.algorithms package

Subpackages

• logai.algorithms.anomaly_detection_algo package
  • Submodules
  • logai.algorithms.anomaly_detection_algo.anomaly_detector_het module
  • logai.algorithms.anomaly_detection_algo.dbl module
  • logai.algorithms.anomaly_detection_algo.distribution_divergence module
  • logai.algorithms.anomaly_detection_algo.ets module
  • logai.algorithms.anomaly_detection_algo.forecast_nn module
  • logai.algorithms.anomaly_detection_algo.isolation_forest module
  • logai.algorithms.anomaly_detection_algo.local_outlier_factor module
  • logai.algorithms.anomaly_detection_algo.logbert module
  • logai.algorithms.anomaly_detection_algo.one_class_svm module
  • Module contents
• logai.algorithms.categorical_encoding_algo package
  • Submodules
  • logai.algorithms.categorical_encoding_algo.label_encoding module
  • logai.algorithms.categorical_encoding_algo.one_hot_encoding module
  • logai.algorithms.categorical_encoding_algo.ordinal_encoding module
  • Module contents
• logai.algorithms.clustering_algo package
  • Submodules
  • logai.algorithms.clustering_algo.birch module
  • logai.algorithms.clustering_algo.dbscan module
  • logai.algorithms.clustering_algo.kmeans module
  • Module contents
• logai.algorithms.nn_model package
  • Subpackages
    • logai.algorithms.nn_model.forecast_nn package
      • Submodules
      • logai.algorithms.nn_model.forecast_nn.base_nn module
      • logai.algorithms.nn_model.forecast_nn.cnn module
      • logai.algorithms.nn_model.forecast_nn.lstm module
      • logai.algorithms.nn_model.forecast_nn.transformer module
      • logai.algorithms.nn_model.forecast_nn.utils module
      • Module contents
    • logai.algorithms.nn_model.logbert package
      • Submodules
      • logai.algorithms.nn_model.logbert.configs module
      • logai.algorithms.nn_model.logbert.eval_metric_utils module
      • logai.algorithms.nn_model.logbert.predict module
      • logai.algorithms.nn_model.logbert.predict_utils module
      • logai.algorithms.nn_model.logbert.tokenizer_utils module
      • logai.algorithms.nn_model.logbert.train module
      • Module contents
  • Submodules
  • logai.algorithms.nn_model.transformers module
  • Module contents
• logai.algorithms.parsing_algo package
  • Submodules
  • logai.algorithms.parsing_algo.ael module
  • logai.algorithms.parsing_algo.drain module
  • logai.algorithms.parsing_algo.iplom module
  • Module contents
• logai.algorithms.vectorization_algo package
  • Submodules
  • logai.algorithms.vectorization_algo.fasttext module
  • logai.algorithms.vectorization_algo.forecast_nn module
  • logai.algorithms.vectorization_algo.logbert module
  • logai.algorithms.vectorization_algo.semantic module
  • logai.algorithms.vectorization_algo.sequential module
  • logai.algorithms.vectorization_algo.tfidf module
  • logai.algorithms.vectorization_algo.word2vec module
  • Module contents

Submodules

logai.algorithms.algo_interfaces module

logai.algorithms.factory module

class logai.algorithms.factory.AlgorithmFactory

Bases: object

The singleton factory class for all the supported algorithms.

get_algorithm(task, name, config)

Gets a algorithm instance given an algorithm name and a config instance.

Parameters:

• task – The task name.

• name – The algorithm name.

• config – The config instance.

get_algorithm_class(task, name)

Gets the corresponding algorithm class given an algorithm name.

Parameters:

• task – The task name.

• name – The algorithm name.

get_config(task, name, config_dict)

Gets a configuration instance given an algorithm name and a config dict.

Parameters:

• task – The task name.

• name – The algorithm name.

• config_dict – The config dictionary.

get_config_class(task, name)

Gets the corresponding configuration class given an algorithm name.

Parameters:

• task – The task name.

• name – The algorithm name.

instance = <logai.algorithms.factory.AlgorithmFactory object>

classmethod register(task, name, config_class)

Registers the algorithm name and the configuration class for an algorithm class.

Parameters:

• task – The task name, e.g., detection, clustering

• name – The algorithm name(s).

• config_class – The configuration class.

classmethod unregister(task, name)

Unregisters a registered algorithm.

Parameters:

• task – The task name.

• name – The algorithm name.

Module contents