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jc-builds
/
polymarket-edge-bot

Tabular Classification
sentence-transformers
English
lightgbm
prediction-markets
polymarket
trading
finance
probabilistic-classification
calibration
Model card Files Files and versions
xet
Community

Instructions to use jc-builds/polymarket-edge-bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use jc-builds/polymarket-edge-bot with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("jc-builds/polymarket-edge-bot")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
polymarket-edge-bot
7.09 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jc-builds's picture
jc-builds
Add honest capital-constrained backtest + bootstrap + win-rate decomposition
0bca2b4 verified 15 days ago
  • charts
    Add honest capital-constrained backtest + bootstrap + win-rate decomposition 15 days ago
  • .gitattributes
    2.04 kB
    Add honest capital-constrained backtest + bootstrap + win-rate decomposition 15 days ago
  • README.md
    11.7 kB
    Add honest capital-constrained backtest + bootstrap + win-rate decomposition 15 days ago
  • feature_spec.json
    1.07 kB
    Initial release: iter7 LightGBM + frozen MiniLM, +9.4% ROI per bet at edge>10% 15 days ago
  • inference_example.py
    1.8 kB
    Initial release: iter7 LightGBM + frozen MiniLM, +9.4% ROI per bet at edge>10% 15 days ago
  • isotonic_calibrator.pkl

    Detected Pickle imports (5)

    • "numpy._core.multiarray._reconstruct",
    • "numpy.ndarray",
    • "sklearn.isotonic.IsotonicRegression",
    • "numpy.dtype",
    • "numpy._core.multiarray.scalar"

    How to fix it?

    2.45 kB
    xet
    Initial release: iter7 LightGBM + frozen MiniLM, +9.4% ROI per bet at edge>10% 15 days ago
  • lightgbm_model.txt
    5.46 MB
    Initial release: iter7 LightGBM + frozen MiniLM, +9.4% ROI per bet at edge>10% 15 days ago
  • training_meta.json
    1.92 kB
    Initial release: iter7 LightGBM + frozen MiniLM, +9.4% ROI per bet at edge>10% 15 days ago