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task18-direct-reward-v2
rsmillie94/task18-direct-reward-v2
task18-direct-reward-v2 is a machine learning model from rsmillie94. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
FLock.io Task 18 - Dark Pool Order Routing
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Public
Updated Dec 22, 2025
Repo size
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.onnx172 KB · 99%
At a glance
- Access
- Public
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025
- SHA
- 65af898f
Model card
From the Hugging Face model README
task18-direct-reward-v2
FLock.io Task 18 - Dark Pool Order Routing
Description
Direct reward optimization NN with dropout. Reward: -0.053
Model Details
- Input: 34 features (X)
- Output: 8 venue allocation weights (softmax)
- Format: ONNX
Usage
import onnxruntime as ort
sess = ort.InferenceSession('model.onnx')
weights = sess.run(None, {'X': X})[0]
- Created
- Dec 22, 2025
- Updated
- Dec 22, 2025