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deps(deps): bump the ai-ml group across 1 directory with 4 updates #139

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deps(deps): bump the ai-ml group across 1 directory with 4 updates #139

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8 changes: 4 additions & 4 deletions config/requirements.txt
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Expand Up @@ -28,8 +28,8 @@ locust==2.43.4 # [稳定层] 备用 Python 压测
# JMeter 5.6.3 [外部]，需独立装 Java + JMeter（见部署说明）

# ===== [稳定层] 测试数据工厂 =====
faker==20.1.0 # [稳定层]
factory-boy==3.3.0 # [稳定层]
faker==40.19.1 # [稳定层]
factory-boy==3.3.3 # [稳定层]

# ===== [稳定层] 数据库 =====
psycopg2-binary==2.9.12 # [稳定层] PostgreSQL（按实际数据库选其一）
Expand Down Expand Up @@ -99,8 +99,8 @@ kafka-python==2.0.2 # [可选] Kafka
pika==1.3.2 # [可选] RabbitMQ

# ===== [可选] AI/ML（14-AI模型测试）=====
scikit-learn==1.5.2 # [可选] 模型评估（修 GHSA data leakage）
scipy==1.13.1 # [可选] 漂移检测（KS）—— 1.11.4→1.13.1 Py 3.12 官方支持 + 与 scikit-image 0.24 / sklearn 1.5 numpy 兼容
scikit-learn==1.8.0 # [可选] 模型评估（修 GHSA data leakage）
scipy==1.17.1 # [可选] 漂移检测（KS）—— 1.11.4→1.13.1 Py 3.12 官方支持 + 与 scikit-image 0.24 / sklearn 1.5 numpy 兼容
# alibi-detect==0.12.0 # [可选] 漂移高级检测
# deepeval==0.20.50 # [可选] LLM 评估

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4 changes: 2 additions & 2 deletions requirements/ai.txt
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Expand Up @@ -3,8 +3,8 @@
-r base.txt

numpy==1.26.4
scikit-learn==1.5.2
scipy==1.13.1
scikit-learn==1.8.0
scipy==1.17.1
# alibi-detect==0.12.0 # 漂移高级检测
# deepeval==0.20.50 # LLM 评估
# foolbox==3.3.4 # CV 对抗
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4 changes: 2 additions & 2 deletions requirements/base.txt
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Expand Up @@ -19,8 +19,8 @@ playwright==1.59.0
requests==2.33.0

# 测试数据工厂
faker==20.1.0
factory-boy==3.3.0
faker==40.19.1
factory-boy==3.3.3

# 数据库
psycopg2-binary==2.9.12
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