refactor: 清理测试文件和2019相关代码

- 删除测试脚本: test_2026_classification.py, test_lagllama.py, test_timesfm.py, test_ttm.py
- 删除2019相关文件: analyze_2019_*, apply_2019_*, dlinear_2019_*, three_models_2019_*
- 添加集成模型相关代码和分析脚本
- 添加N-BEATS模型和CatBoost分类模型

install_foundation_models.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+# 安装三个时间序列基础模型
+
+echo "=================================="
+echo "安装时间序列基础模型"
+echo "=================================="
+
+# 激活conda环境
+source /Users/xxz/miniforge3/bin/activate
+conda activate crypto_pred_312
+
+echo ""
+echo "[1/3] 安装 Google TimesFM 2.5..."
+pip install git+https://github.com/google-research/timesfm.git
+
+echo ""
+echo "[2/3] 安装 IBM TTM-R2 (Granite TSFM)..."
+pip install tsfm_public
+
+echo ""
+echo "[3/3] 安装 Lag-Llama 依赖..."
+pip install gluonts[torch] torch
+
+echo ""
+echo "=================================="
+echo "✓ 所有模型安装完成!"
+echo "=================================="
+echo ""
+echo "模型位置："
+echo "  - TimesFM 2.5: HuggingFace自动下载"
+echo "  - TTM-R2: ibm-granite/granite-timeseries-ttm-r2"
+echo "  - Lag-Llama: time-series-foundation-models/lag-llama"