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Published July 27, 2023 | Version v1.4.0
Software Open

thieu1995/permetrics: v1.4.0

Authors/Creators

  • 1. AIIR Group
  • 2. Progressive

Description

  • Add ClusteringMetric:
    • Add internal metrics (Need X features and y_pred)
      • ball_hall_index (BHI)
      • calinski_harabasz_index (CHI)
      • xie_beni_index (XBI)
      • banfeld_raftery_index (BRI)
      • davies_bouldin_index (DBI)
      • det_ratio_index (DRI)
      • dunn_index (DI)
      • ksq_detw_index (KDI)
      • log_det_ratio_index (LDRI)
      • log_ss_ratio_index (LSRI)
      • silhouette_index (SI)
    • Add external metrics (Need y_true and y_pred)
      • mutual_info_score (MIS)
      • normalized_mutual_info_score (NMIS)
      • rand_score (RaS)
      • fowlkes_mallows_score (FMS)
      • homogeneity_score (HS)
      • completeness_score (CS)
      • v_measure_score (VMS)
      • precision_score (PrS)
      • recall_score (ReS)
      • f_measure_score (FmS)
      • czekanowski_dice_score (CDS)
      • hubert_gamma_score (HGS)
      • jaccard_score (JS)
      • kulczynski_score (KS)
      • mc_nemar_score (MNS)
      • phi_score (PhS)
      • rogers_tanimoto_score (RTS)
      • russel_rao_score (RRS)
      • sokal_sneath1_score (SS1S)
      • sokal_sneath2_score (SS2S)
  • Add examples for ClusteringMetric
  • Add LabelEncoder class

Files

thieu1995/permetrics-v1.4.0.zip

Files (846.9 kB)

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Additional details

Related works

Is supplement to
https://github.com/thieu1995/permetrics/tree/v1.4.0 (URL)