{ "case": 3, "report_id": "9c0d63d9-bd1c-401d-92bb-0b27e51afa45", "question": "为什么删除一个真实字段，保留另一个？", "consumer": "deterministic public API queries; no LLM", "description": { "report_id": "9c0d63d9-bd1c-401d-92bb-0b27e51afa45", "report_type": "correlation", "format_version": 1, "tables": { "features": { "rows": 11, "grain": "features", "schema_version": 1, "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称", "null": "unavailable; inspect status and report parameters" }, "candidate_order": { "dtype": "Int64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "participated": { "dtype": "Boolean", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "diagonal": { "dtype": "Float64", "unit": "correlation", "meaning": "actual engine diagonal; never synthesized as 1", "null": "unavailable; inspect status and report parameters" }, "diagonal_status": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "selected": { "dtype": "Boolean", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "exit_stage": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature": "feature" } }, "pairs": { "rows": 55, "grain": "pairs", "schema_version": 1, "fields": { "feature_a": { "dtype": "Enum", "unit": "identifier", "meaning": "无序特征对按固定候选顺序存储的左端原始 ID", "null": "unavailable; inspect status and report parameters" }, "feature_b": { "dtype": "Enum", "unit": "identifier", "meaning": "无序特征对按固定候选顺序存储的右端原始 ID", "null": "unavailable; inspect status and report parameters" }, "correlation": { "dtype": "Float64", "unit": "correlation", "meaning": "signed correlation; representation/method in parameters", "null": "unavailable; inspect status and report parameters" }, "abs_correlation": { "dtype": "Float64", "unit": "correlation", "meaning": "abs(correlation)，原生排序用物化派生值", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "valid 有可用相关系数；unavailable 相关系数无法定义；有效零相关仍为 valid", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature_a": "left endpoint", "feature_b": "right endpoint" } }, "correlation_decisions": { "rows": 11, "grain": "correlation_decisions", "schema_version": 1, "fields": { "event_order": { "dtype": "Int64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称", "null": "unavailable; inspect status and report parameters" }, "trigger_feature": { "dtype": "String", "unit": "identifier", "meaning": "真实筛选分支中导致当前决定的特征原始 ID；保留事件可为空", "null": "unavailable; inspect status and report parameters" }, "action": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "correlation": { "dtype": "Float64", "unit": "correlation", "meaning": "signed correlation; representation/method in parameters", "null": "unavailable; inspect status and report parameters" }, "abs_correlation": { "dtype": "Float64", "unit": "correlation", "meaning": "abs(correlation)，原生排序用物化派生值", "null": "unavailable; inspect status and report parameters" }, "threshold": { "dtype": "Float64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "operator": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "priority_metric": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "feature_priority": { "dtype": "Float64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "trigger_priority": { "dtype": "Float64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "tie_rule": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "white_list_protected": { "dtype": "Boolean", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature": "decision subject", "trigger_feature": "trigger" } }, "selection": { "rows": 21, "grain": "selection", "schema_version": 1, "fields": { "feature": { "dtype": "String", "unit": "identifier", "meaning": "原输入特征名称", "null": "unavailable; inspect status and report parameters" }, "data_source": { "dtype": "String", "unit": "category", "meaning": "调用方登记的特征来源；未映射字段可能标为 UNMAPPED", "null": "unavailable; inspect status and report parameters" }, "status": { "dtype": "String", "unit": "state", "meaning": "Dropped 已移除；Checked 已执行检查；Selected 已入选；筛选事件状态，结合 stage/reason", "null": "unavailable; inspect status and report parameters" }, "stage": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "reason": { "dtype": "String", "unit": "state_reason", "meaning": "计算失败、跳过、无法定义或尚未表现的具体原因", "null": "unavailable; inspect status and report parameters" }, "value": { "dtype": "Float64", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" }, "description": { "dtype": "String", "unit": "unknown", "meaning": "描述字段或未登记指标；含义未知", "null": "unavailable; inspect status and report parameters" } }, "feature_roles": { "feature": "feature" } } }, "parameters": { "representation": "raw", "method": "spearman", "input_row_count": 215374, "target": "TARGET", "target_aware_transform": false, "target_rule": "numeric non-null, finite; complete rows on cleaning pool", "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list": [], "checked_max_corr_scope": "all other correlation candidates including dropped features", "optional_diagnostics": "available", "prepared_row_count": 76440, "cleaning_field_pool": [ "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "AMT_INCOME_TOTAL", "AMT_ANNUITY", "AMT_GOODS_PRICE", "DAYS_BIRTH", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "OBS_30_CNT_SOCIAL_CIRCLE", "OBS_60_CNT_SOCIAL_CIRCLE" ], "numeric_conversion": "pandas.to_numeric(errors='coerce')", "missing_policy": "complete deletion on entire numeric requested pool and target; inf -> NaN", "correlation_row_count": 76440, "candidate_scope": [ "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "AMT_INCOME_TOTAL", "AMT_ANNUITY", "AMT_GOODS_PRICE", "DAYS_BIRTH", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "OBS_30_CNT_SOCIAL_CIRCLE", "OBS_60_CNT_SOCIAL_CIRCLE" ], "status": "computed", "sample_count_definition": "global correlation input rows; not pairwise overlap", "abs_correlation": "abs(signed correlation), materialized for native sorting", "feature_filter": "pairs: any endpoint union; independent sources and features conditions AND", "related_source_filter": "peer source only", "unknown_feature": "table query returns empty; dedicated operations raise ValueError" }, "feature_metadata": { "EXT_SOURCE_1": { "display_name": "外部来源分 1", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "EXT_SOURCE_2": { "display_name": "外部来源分 2", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "EXT_SOURCE_3": { "display_name": "外部来源分 3", "description": "Normalized score from external data source", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "归一化值（无量纲）" }, "AMT_INCOME_TOTAL": { "display_name": "客户收入", "description": "Income of the client", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "AMT_ANNUITY": { "display_name": "贷款年金", "description": "Loan annuity", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "AMT_GOODS_PRICE": { "display_name": "贷款对应商品价格", "description": "For consumer loans it is the price of the goods for which the loan is given", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "原始金额单位（币种未公开）" }, "DAYS_BIRTH": { "display_name": "申请时年龄天数（原始值）", "description": "Client's age in days at the time of application", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "天（相对申请日，保留原始符号）" }, "REGION_RATING_CLIENT": { "display_name": "居住地区评级", "description": "Our rating of the region where client lives (1,2,3)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "REGION_RATING_CLIENT_W_CITY": { "display_name": "考虑城市的居住地区评级", "description": "Our rating of the region where client lives with taking city into account (1,2,3)", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "未公开" }, "OBS_30_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈可观察的 30 天逾期记录数", "description": "How many observation of client's social surroundings with observable 30 DPD (days past due) default", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" }, "OBS_60_CNT_SOCIAL_CIRCLE": { "display_name": "社交圈可观察的 60 天逾期记录数", "description": "How many observation of client's social surroundings with observable 60 DPD (days past due) default", "data_source": "Home Credit 2018 application_{train|test}.csv", "unit": "次数或人数（按官方定义）" } }, "business_context": { "dataset_id": "home-credit-default-risk-2018", "sample_unit": "unknown", "label_definition": "unknown", "observation_window": "unknown", "source": "https://www.kaggle.com/competitions/home-credit-default-risk/data", "real_features": { "source": "application_train.csv/application_test.csv", "simulated": false, "derived_features_added": false }, "target": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" }, "date": { "field": "APPLY_DATE", "simulated": true, "train_range": [ "2026-01-01", "2026-06-30" ], "test_range": [ "2026-07-01", "2026-07-31" ], "limitation": "功能演示日期，不支持真实跨期泛化、季节性或线上漂移结论。" }, "partitions": { "field": "dataset_flag", "simulated": true, "0train": "拟合、候选发现、开发筛选与 PSI 参考分布", "1val": "验证或筛选；参与选择后不是最终独立评估", "2test": "有标签独立评估，不等同于原始 application_test", "3oot": "模拟时间外独立评估，不是真实业务 OOT", "4_oot_undue": "原始比赛测试表，标签未公开；名称不代表真实贷款未到期" }, "amount": { "field": "AMT_CREDIT", "unit": "原始金额单位", "currency": "未公开", "meaning": "贷款金额，不等于损失或利润", "included_as_feature": false }, "weights": null, "sample_scope": "两个 application 文件的全部样本", "preparation_version": "home-credit-2018-v1", "special_values": { "DAYS_EMPLOYED": { "value": 365243, "count": 64648, "handling": "保留原值；该异常正值作为本字段的特殊值配置，不应用于其他字段。", "meaning": "官方字段说明未解释此值，不推断实际就业时长。" } }, "labels": { "TARGET": { "field": "TARGET", "definition": "Target variable (1 - client with payment difficulties: he/she had late payment more than X days on at least one of the first Y installments of the loan in our sample, 0 - all other cases)", "simulated": false, "available_in": "application_train.csv", "unavailable_in": "application_test.csv", "unobserved_value": null, "performance_window": "X/Y 未公开；不推断 bad30/bad60" } } }, "source": { "dataset_id": "home-credit-default-risk-2018", "computation": "correlation" }, "public_functions": [ "mars.reporting.get_correlation_matrix", "mars.reporting.get_related_features", "mars.reporting.show_correlation_matrix" ], "saved_operations": "public functions accept load_report ReportSnapshot; no source samples or fitted objects required", "operations": [ "describe", "get_table", "query_page", "get_feature", "search_features", "to_ai_context", "save", "show_table", "write_excel", "write_html" ], "limitations": [ "Only saved aggregate evidence; no causal or deployment conclusion.", "Null is unavailable, not numeric zero. See status and denominators." ] }, "queries": [ { "question": "真实数值相关性是否触发淘汰", "reference": { "report_id": "9c0d63d9-bd1c-401d-92bb-0b27e51afa45", "table": "correlation_decisions", "query": { "offset": 0, "limit": 12 } }, "total_rows": 11, "returned_rows": 11, "omitted_rows": 0, "next_offset": null, "rows": [ { "event_order": 0, "feature": "OBS_30_CNT_SOCIAL_CIRCLE", "trigger_feature": "OBS_60_CNT_SOCIAL_CIRCLE", "action": "drop", "correlation": 0.9974968029828649, "abs_correlation": 0.9974968029828649, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.016545299924335632, "trigger_priority": 0.01662761122500525, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 1, "feature": "EXT_SOURCE_1", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.15048668629948603, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 2, "feature": "EXT_SOURCE_2", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.13323666386807034, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 3, "feature": "EXT_SOURCE_3", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.16213596930493898, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 4, "feature": "AMT_INCOME_TOTAL", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.02010907211464301, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 5, "feature": "AMT_ANNUITY", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.0005761958408035406, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 6, "feature": "AMT_GOODS_PRICE", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.03027665264392896, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 7, "feature": "DAYS_BIRTH", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.06676390631860718, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 8, "feature": "REGION_RATING_CLIENT", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.05868759630020672, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 9, "feature": "REGION_RATING_CLIENT_W_CITY", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.06166437429089112, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false }, { "event_order": 10, "feature": "OBS_60_CNT_SOCIAL_CIRCLE", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.95, "operator": ">=", "priority_metric": "absolute target Spearman", "feature_priority": 0.01662761122500525, "trigger_priority": null, "tie_rule": "left candidate retained on >= strength; legacy NaN candidates excluded before corr", "white_list_protected": false } ] }, { "question": "实际最强原始字段关系", "reference": { "report_id": "9c0d63d9-bd1c-401d-92bb-0b27e51afa45", "table": "pairs", "query": { "offset": 0, "limit": 6, "sort_by": "abs_correlation", "descending": true } }, "total_rows": 55, "returned_rows": 6, "omitted_rows": 49, "next_offset": 6, "rows": [ { "feature_a": "OBS_30_CNT_SOCIAL_CIRCLE", "feature_b": "OBS_60_CNT_SOCIAL_CIRCLE", "correlation": 0.9974968029828649, "abs_correlation": 0.9974968029828649, "status": "valid" }, { "feature_a": "REGION_RATING_CLIENT", "feature_b": "REGION_RATING_CLIENT_W_CITY", "correlation": 0.9494694865950033, "abs_correlation": 0.9494694865950033, "status": "valid" }, { "feature_a": "AMT_ANNUITY", "feature_b": "AMT_GOODS_PRICE", "correlation": 0.8243547988618424, "abs_correlation": 0.8243547988618424, "status": "valid" }, { "feature_a": "EXT_SOURCE_1", "feature_b": "DAYS_BIRTH", "correlation": -0.5983653685064243, "abs_correlation": 0.5983653685064243, "status": "valid" }, { "feature_a": "AMT_INCOME_TOTAL", "feature_b": "AMT_ANNUITY", "correlation": 0.4680234058290828, "abs_correlation": 0.4680234058290828, "status": "valid" }, { "feature_a": "AMT_INCOME_TOTAL", "feature_b": "AMT_GOODS_PRICE", "correlation": 0.39850086006135116, "abs_correlation": 0.39850086006135116, "status": "valid" } ] }, { "question": "目标感知 WOE 空间的实际决策", "reference": { "report_id": "a0a8a272-2ac5-4c34-b4f9-a6e5b08ef486", "table": "correlation_decisions", "query": { "offset": 0, "limit": 8 } }, "total_rows": 52, "returned_rows": 8, "omitted_rows": 44, "next_offset": 8, "rows": [ { "event_order": 0, "feature": "EXT_SOURCE_3", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.8, "operator": ">", "priority_metric": "IV", "feature_priority": 0.2891859710216522, "trigger_priority": null, "tie_rule": "descending IV then ascending feature ID", "white_list_protected": false }, { "event_order": 1, "feature": "EXT_SOURCE_2", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.8, "operator": ">", "priority_metric": "IV", "feature_priority": 0.2712540626525879, "trigger_priority": null, "tie_rule": "descending IV then ascending feature ID", "white_list_protected": false }, { "event_order": 2, "feature": "EXT_SOURCE_1", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.8, "operator": ">", "priority_metric": "IV", "feature_priority": 0.13384604454040527, "trigger_priority": null, "tie_rule": "descending IV then ascending feature ID", "white_list_protected": false }, { "event_order": 3, "feature": "DAYS_BIRTH", "trigger_feature": null, "action": "keep", "correlation": null, "abs_correlation": null, "threshold": 0.8, "operator": ">", "priority_metric": "IV", "feature_priority": 0.07587558031082153, "trigger_priority": null, "tie_rule": "descending IV then ascending feature ID", "white_list_protected": false 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"AMT_ANNUITY", "AMT_GOODS_PRICE", "AMT_REQ_CREDIT_BUREAU_DAY", "AMT_REQ_CREDIT_BUREAU_HOUR", "AMT_REQ_CREDIT_BUREAU_MON", "AMT_REQ_CREDIT_BUREAU_QRT", "AMT_REQ_CREDIT_BUREAU_WEEK", "AMT_REQ_CREDIT_BUREAU_YEAR", "APARTMENTS_MEDI", "APARTMENTS_MODE", "DAYS_LAST_PHONE_CHANGE", "DAYS_REGISTRATION", "ELEVATORS_AVG", "ELEVATORS_MEDI", "ELEVATORS_MODE", "EXT_SOURCE_1", "EXT_SOURCE_2", "EXT_SOURCE_3", "FLOORSMAX_AVG", "FLOORSMAX_MEDI", "FLOORSMAX_MODE", "FLOORSMIN_AVG", "FLOORSMIN_MEDI", "FLOORSMIN_MODE", "LIVINGAREA_AVG", "LIVINGAREA_MEDI", "LIVINGAREA_MODE", "NONLIVINGAREA_AVG", "NONLIVINGAREA_MEDI", "OWN_CAR_AGE", "REGION_POPULATION_RELATIVE", "TOTALAREA_MODE", "YEARS_BEGINEXPLUATATION_AVG", "YEARS_BEGINEXPLUATATION_MEDI", "YEARS_BEGINEXPLUATATION_MODE", "DAYS_BIRTH", "DAYS_EMPLOYED", "DAYS_ID_PUBLISH", "FLAG_DOCUMENT_3", "FLAG_EMP_PHONE", "FLAG_WORK_PHONE", "LIVE_CITY_NOT_WORK_CITY", "REGION_RATING_CLIENT", "REGION_RATING_CLIENT_W_CITY", "REG_CITY_NOT_WORK_CITY", "CODE_GENDER", "EMERGENCYSTATE_MODE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE", "NAME_INCOME_TYPE", "OCCUPATION_TYPE", "ORGANIZATION_TYPE" ], "status": "computed", "sample_count_definition": "global correlation input rows; not pairwise overlap", "abs_correlation": "abs(signed correlation), materialized for native sorting", "feature_filter": "pairs: any endpoint union; independent sources and features conditions AND", "related_source_filter": "peer source only", "unknown_feature": "table query returns empty; dedicated operations raise ValueError" }, "selection_scope": "0train only; 1val/2test/3oot not used for selection" }, "unavailable": "相关性是该字段池、表示与缺失处理下的关联，不说明业务因果。" }