ml_engine/environment_intel_mac.yml at main · Raynergy-svg/ml_engine · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
2# Conda Environment for Intel Mac (i7-8750H)
# ml_engine FX Trading Bot
#
# Usage:
#   conda env create -f environment_intel_mac.yml
#   conda activate ml_engine_py312
#
# For full TensorFlow CPU optimization, run:
#   cd ~/tensorflow-build && ./build_optimized.sh

name: intel
channels:
  - conda-forge
  - defaults

dependencies:
  - python=3.12
  - pip

  # Core ML
  - numpy=1.26.4
  - pandas
  - scipy
  - scikit-learn
  - xgboost

  # Deep Learning (TensorFlow via pip for better Intel support)
  - keras

  # JIT & Explainability
  - numba
  - llvmlite
  - shap

  # Hyperparameter Optimization
  - optuna

  # Visualization
  - matplotlib
  - seaborn
  - plotly

  # Data & Utils
  - pyyaml
  - python-dotenv
  - requests
  - aiohttp
  - tqdm
  - rich

  # Development
  - pytest
  - ipykernel
  - jupyter

  # pip packages
  - pip:
    - tensorflow>=2.16.1,<2.17  # Pin to 2.16.x - TF 2.18 has down_cast crash on macOS
    - protobuf==4.25.3  # Strict pin - TF 2.16+ incompatible with protobuf 5.x/6.x
    - ta  # Technical Analysis
    - ccxt  # Crypto/FX exchange connectivity
    - gymnasium  # RL environments
    - mplfinance  # Financial charts
    - quantstats  # Portfolio analytics
    - wandb  # Experiment tracking
    - lime  # Model interpretability
    - fastapi
    - uvicorn
    - structlog
    - psutil