Permetrics

Latest version: v2.0.0

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2.0.0

+ Resolve problems pointed out by reviewers for JOSS journal
+ Update documents, examples, and README
+ Update pre-condition check for all metrics
+ Remove `decimal` parameter in all metrics
+ Replace `non_zero`, `positive` parameters by `force_finite`, `finite_value` in many metrics.
+ Add features tests and comparisons tests

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1.5.0

+ Add metrics to ClusteringMetric class:
+ Mean Squared Error Index (MSEI)
+ Adjusted Rand Score (ARS)
+ Gamma Score (GAS)
+ Gplus Score (GPS)
+ Speed up all metrics in ClusteringMetric by transferring the computation to cluster_util module.
+ Add speed up examples for clustering metrics (10x-100x faster than previous version)
+ Update documents, ChangeLog, Readme

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1.4.3

+ Reformat ClassificationMetric, RegressionMetric, and ClusteringMetric
+ Fix bugs in metrics:
+ ROC-AUC score
+ F2 score, FBeta score
+ Hamming Score, Accuracy Score
+ Add metrics to ClassificationMetric:
+ Brier Score Loss (BSL)
+ Kullback-Leibler Divergence Loss (KLDL)
+ Cross-Entropy Loss (CEL)
+ Hinge Loss (HL)
+ Update docs, examples

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1.4.2

+ Fix bug in get_support() function
+ Fix bug rounding number in ClassificationMetric
+ Update logo and docs

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1.4.1

+ Remove all lowercase shortname of all metrics
+ Fix bugs in GINI function belongs to ClassificationMetric
+ Fix bugs in some functions belong to ClusteringMetric
+ Update characteristics of most of the functions (valid ranges and best value)
+ Add metrics to ClusteringMetrics
+ Entropy Score (ES)
+ Purity Score (PuS)
+ Tau Score (TS)
+ Duda-Hart Index (DHI)
+ Sum of Squared Error Index (SSEI)
+ Beale Index (BI)
+ R-Squared Index (RSI)
+ Density-Based Clustering Validation Index (DBCVI)
+ Hartigan Index (HI)
+ Add get_support() method in RegressionMetric, ClassificationMetric, and ClusteringMetric
+ Update and add more examples to all classes.
+ Update documents for all metrics.

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1.4.0

+ 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

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