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    "ob_categorical_udt",
    "ob_check_distincts",
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    "ob_gains_table",
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    "ob_numerical_bb",
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    "ob_numerical_jedi",
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    "ob_numerical_ldb",
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    "ob_numerical_mblp",
    "ob_numerical_mdlp",
    "ob_numerical_mob",
    "ob_numerical_mrblp",
    "ob_numerical_oslp",
    "ob_numerical_sketch",
    "ob_numerical_ubsd",
    "ob_numerical_udt",
    "ob_preprocess",
    "obcorr",
    "obwoe",
    "obwoe_algorithm",
    "obwoe_algorithms",
    "obwoe_apply",
    "obwoe_bin_cutoff",
    "obwoe_gains",
    "obwoe_max_bins",
    "obwoe_min_bins",
    "step_obwoe"
  ],
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      "title": "Categorical-Only Algorithms",
      "topics": [
        ".categorical_only_algorithms"
      ]
    },
    {
      "page": "dot-numerical_only_algorithms",
      "title": "Numerical-Only Algorithms",
      "topics": [
        ".numerical_only_algorithms"
      ]
    },
    {
      "page": "dot-universal_algorithms",
      "title": "Universal Algorithms",
      "topics": [
        ".universal_algorithms"
      ]
    },
    {
      "page": "dot-valid_algorithms",
      "title": "Valid Binning Algorithms",
      "topics": [
        ".valid_algorithms"
      ]
    },
    {
      "page": "bake.step_obwoe",
      "title": "Apply the Optimal Binning Transformation",
      "topics": [
        "bake.step_obwoe"
      ]
    },
    {
      "page": "control.obwoe",
      "title": "Control Parameters for Optimal Binning Algorithms",
      "topics": [
        "control.obwoe"
      ]
    },
    {
      "page": "fit_logistic_regression",
      "title": "Fit Logistic Regression Model",
      "topics": [
        "fit_logistic_regression"
      ]
    },
    {
      "page": "ob_apply_woe_cat",
      "title": "Apply Optimal Weight of Evidence (WoE) to a Categorical Feature",
      "topics": [
        "ob_apply_woe_cat"
      ]
    },
    {
      "page": "ob_apply_woe_num",
      "title": "Apply Optimal Weight of Evidence (WoE) to a Numerical Feature",
      "topics": [
        "ob_apply_woe_num"
      ]
    },
    {
      "page": "ob_categorical_cm",
      "title": "Optimal Binning for Categorical Variables using Enhanced ChiMerge Algorithm",
      "topics": [
        "ob_categorical_cm"
      ]
    },
    {
      "page": "ob_categorical_dmiv",
      "title": "Optimal Binning for Categorical Variables using Divergence Measures",
      "topics": [
        "ob_categorical_dmiv"
      ]
    },
    {
      "page": "ob_categorical_dp",
      "title": "Optimal Binning for Categorical Variables using Dynamic Programming",
      "topics": [
        "ob_categorical_dp"
      ]
    },
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      "page": "ob_categorical_fetb",
      "title": "Optimal Binning for Categorical Variables using Fisher's Exact Test",
      "topics": [
        "ob_categorical_fetb"
      ]
    },
    {
      "page": "ob_categorical_gmb",
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      ]
    },
    {
      "page": "ob_categorical_ivb",
      "title": "Optimal Binning for Categorical Variables using Information Value Dynamic Programming",
      "topics": [
        "ob_categorical_ivb"
      ]
    },
    {
      "page": "ob_categorical_jedi",
      "title": "Optimal Binning for Categorical Variables using JEDI Algorithm",
      "topics": [
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      ]
    },
    {
      "page": "ob_categorical_jedi_mwoe",
      "title": "Optimal Binning for Categorical Variables with Multinomial Target using JEDI-MWoE",
      "topics": [
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    },
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      "page": "ob_categorical_mba",
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      ]
    },
    {
      "page": "ob_categorical_milp",
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      "topics": [
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      "title": "Optimal Binning for Categorical Variables using Monotonic Optimal Binning (MOB)",
      "topics": [
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      ]
    },
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      "topics": [
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      ]
    },
    {
      "page": "ob_categorical_sblp",
      "title": "Optimal Binning for Categorical Variables using SBLP",
      "topics": [
        "ob_categorical_sblp"
      ]
    },
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      ]
    },
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      "page": "ob_categorical_swb",
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      "topics": [
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      ]
    },
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      "page": "ob_cutpoints_cat",
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        "ob_cutpoints_cat"
      ]
    },
    {
      "page": "ob_cutpoints_num",
      "title": "Binning Numerical Variables using Custom Cutpoints",
      "topics": [
        "ob_cutpoints_num"
      ]
    },
    {
      "page": "ob_gains_table",
      "title": "Compute Comprehensive Gains Table from Binning Results",
      "topics": [
        "ob_gains_table"
      ]
    },
    {
      "page": "ob_gains_table_feature",
      "title": "Compute Gains Table for a Binned Feature Vector",
      "topics": [
        "ob_gains_table_feature"
      ]
    },
    {
      "page": "ob_numerical_bb",
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        "ob_numerical_bb"
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    {
      "page": "ob_numerical_cm",
      "title": "Optimal Binning for Numerical Variables using Enhanced ChiMerge Algorithm",
      "topics": [
        "ob_numerical_cm"
      ]
    },
    {
      "page": "ob_numerical_dmiv",
      "title": "Optimal Binning using Metric Divergence Measures (Zeng, 2013)",
      "topics": [
        "ob_numerical_dmiv"
      ]
    },
    {
      "page": "ob_numerical_dp",
      "title": "Optimal Binning for Numerical Variables using Dynamic Programming",
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        "ob_numerical_dp"
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      "page": "ob_numerical_ewb",
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      "page": "ob_numerical_fast_mdlp",
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      "topics": [
        "ob_numerical_fast_mdlp"
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      "page": "ob_numerical_fetb",
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      ]
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      "page": "ob_numerical_ir",
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        "ob_numerical_ir"
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    },
    {
      "page": "ob_numerical_jedi",
      "title": "Optimal Binning using Joint Entropy-Driven Interval Discretization (JEDI)",
      "topics": [
        "ob_numerical_jedi"
      ]
    },
    {
      "page": "ob_numerical_jedi_mwoe",
      "title": "Optimal Binning for Multiclass Targets using JEDI M-WOE",
      "topics": [
        "ob_numerical_jedi_mwoe"
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      "title": "Optimal Binning using K-means Inspired Initialization (KMB)",
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      "page": "ob_numerical_ldb",
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      "title": "OptimalBinningWoE: Practical Guide for Credit Risk Modeling",
      "author": "José Evandeilton Lopes",
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      "headings": [
        "Introduction",
        "Package Overview",
        "Theoretical Foundation",
        "Weight of Evidence (WoE)",
        "Information Value (IV)",
        "Installation",
        "Dataset: German Credit Data",
        "Data Preparation",
        "Quick Start: Single Feature Binning",
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        "Multiple Features: Automated Binning",
        "Feature Selection by IV",
        "Gains Table Analysis",
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