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threshold-3outof5
phanerozoic/threshold-3outof5
threshold-3outof5 is a machine learning model from phanerozoic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
At least 3 of 5 inputs high. Equivalent to 5-input majority function.
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56
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Parameters
6
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0
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Repo makeup
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.py1.4 KB · 52%
At a glance
- License
- mit
- Access
- Public
- Created
- Jan 23, 2026
- Updated
- Jan 24, 2026
- SHA
- 51ec4735
Model card
From the Hugging Face model README
threshold-3outof5
At least 3 of 5 inputs high. Equivalent to 5-input majority function.
Function
3outof5(a, b, c, d, e) = 1 if (a + b + c + d + e) >= 3, else 0
Equivalently: MAJORITY(a, b, c, d, e)
Architecture
Single neuron: weights [1, 1, 1, 1, 1], bias -3
Fires when: sum >= 3
Parameters
| Inputs | 5 |
| Outputs | 1 |
| Neurons | 1 |
| Layers | 1 |
| Parameters | 6 |
| Magnitude | 8 |
Usage
from safetensors.torch import load_file
import torch
w = load_file('model.safetensors')
def atleast3of5(a, b, c, d, e):
inp = torch.tensor([float(a), float(b), float(c), float(d), float(e)])
return int((inp @ w['neuron.weight'].T + w['neuron.bias'] >= 0).item())
print(atleast3of5(0, 0, 0, 1, 1)) # 0 (sum=2)
print(atleast3of5(0, 0, 1, 1, 1)) # 1 (sum=3)
License
MIT
- License
- mit
- Created
- Jan 23, 2026
- Updated
- Jan 24, 2026