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static-price-optimizer-model
mr-checker/static-price-optimizer-model
static-price-optimizer-model is a machine learning model from mr-checker. 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 apache-2.0.
This repository hosts a trained machine learning model used for static price optimization and demand-based profit comparison.
Access
Public
Updated Jan 25, 2026
Repo size
37.4 MB
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1
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Repo makeup
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.joblib74.9 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Jan 6, 2026
- Updated
- Jan 25, 2026
- SHA
- b6d4a30d
Model card
From the Hugging Face model README
Static Price Optimization Model
This repository hosts a trained machine learning model used for static price optimization and demand-based profit comparison.
Model Details
- Model Type: Random Forest Regressor
- Framework: scikit-learn
- Task: Demand prediction for pricing decisions
Intended Use
This model is designed for offline pricing analysis and decision support. It is not intended for real-time pricing systems.
Usage
import joblib
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(
repo_id="mr-checker/static-price-optimizer-model",
filename="model.joblib"
)
model = joblib.load(model_path)
Click the link below to know more about this model and to see the exact training and validation of the model: Static Price Optimizer
- License
- apache-2.0
- Created
- Jan 6, 2026
- Updated
- Jan 25, 2026