parm_dict.json

{
  "root_path": "C:/tmp_data/extract_feature/",
  "feature_file_name": "multi_features_data_simu5.pkl",
  "Is_train_autoencoder": false,
  "autoencoder_structure": 4,
  "L1": {
    "choose_model": "Hierarchical",
    "_param_threshold_dsp": "the number less than the threshold of all count according cluster",
    "noise_threshold": 0.01,
    "_param1_dsp": "param 1 is factor ,the stable indicattor (percentage of flucuation)(difference from the reverse previous 2 level)",
    "_param2_dsp": "param 2 is min number of cluster",
    "_param3_dsp": "param 3 is max number of cluster",
    "_param4_dsp": "param 4 is standby threshold (percentage)",
    "Hierarchical_power_params": [
      [0.3 , 4, 10, 0.5],
      [0.2 , 4, 10, 0.5],
      [0.15, 4, 10, 0.5],
      [0.1 , 4, 10, 0.5]
    ],
    "Is_save_model": true,
    "Hierarchical_vib_params": [ [0.2, 4, 10, 0.5] ],
    "L1_models_name": "L1_models.pkl"
  },
  "L2": {
    "strategy": "consensus",
    "Is_save_model": true,
    "consensus_model": "GMM",
    "reslut_type": "prob",
    "feature_fusion_pca_factor": 0.95,
    "feature_fusion_model": "GMM",
    "meta_clustering_model": "GMM",
    "number_class": 0,
    "min_class": 2,
    "max_class": 7,
    "covariance_type": "diag"
  }
}