feat(probe-selection): 添加探针法因子筛选模块

src/experiment/probe_selection/__init__.py

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+"""增强探针法因子筛选 (Probe Feature Selection)
+
+基于噪音探针的统计显著性特征选择方法。
+
+核心组件:
+    - ProbeSelector: 主选择器，协调整个筛选流程
+    - NoiseGenerator: 噪音生成器，Polars 零拷贝注入
+    - ProbeTrainer: 多任务训练器，支持验证集早停
+    - ImportanceEvaluator: 重要性评估器，强制 Gain
+    - LightGBMClassifier: 分类模型
+
+使用示例:
+    >>> from src.experiment.probe_selection import ProbeSelector
+    >>>
+    >>> selector = ProbeSelector(
+    ...     n_iterations=3,
+    ...     n_noise_features=5,
+    ...     validation_ratio=0.15,
+    ... )
+    >>>
+    >>> selected_features = selector.select(
+    ...     data=train_data,
+    ...     feature_cols=all_features,
+    ...     target_col_regression="future_return_5",
+    ...     date_col="trade_date",
+    ... )
+"""
+
+from src.experiment.probe_selection.importance_evaluator import ImportanceEvaluator
+from src.experiment.probe_selection.lightgbm_classifier import LightGBMClassifier
+from src.experiment.probe_selection.noise_generator import NoiseGenerator
+from src.experiment.probe_selection.probe_selector import ProbeSelector
+from src.experiment.probe_selection.probe_trainer import (
+    ProbeTrainer,
+    create_classification_target,
+    split_validation_by_date,
+)
+
+__all__ = [
+    "ProbeSelector",
+    "NoiseGenerator",
+    "ProbeTrainer",
+    "ImportanceEvaluator",
+    "LightGBMClassifier",
+    "create_classification_target",
+    "split_validation_by_date",
+]