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signal-quality-models
mariamismael/signal-quality-models
signal-quality-models is a machine learning model from mariamismael. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for sklearn.
Predicts RSRP and RSRQ cellular signal metrics from GPS coordinates.
Access
Public
Updated May 14, 2026
Repo size
38.9 MB
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0
Public
Repo makeup
Click a slice to open those files.
.pkl38.8 MB · 100%
At a glance
- Library
- sklearn
- Access
- Public
- Created
- Apr 5, 2026
- Updated
- May 14, 2026
- SHA
- 61e7e237
Model card
From the Hugging Face model README
Signal Quality Prediction Models
Predicts RSRP and RSRQ cellular signal metrics from GPS coordinates.
Models
| File | Type | Target |
|---|---|---|
| rf_rsrp.pkl | Random Forest | RSRP |
| rf_rsrq.pkl | Random Forest | RSRQ |
| gpr_rsrp.pkl | Gaussian Process | RSRP |
| gpr_rsrq.pkl | Gaussian Process | RSRQ |
Each file is a full sklearn Pipeline (scaler + model).
Usage
import joblib
import pandas as pd
model = joblib.load("rf_rsrp.pkl")
new_point = pd.DataFrame({
'latitude': [30.0000],
'longitude': [31.0000]
})
prediction = model.predict(new_point)
print(f"RSRP: {prediction[0]:.2f}")
- Library
- sklearn
- Languages
- en
- Created
- Apr 5, 2026
- Updated
- May 14, 2026