Linear Regression Model V2
This is a simple linear regression model trained on a dummy dataset.
Model Description
This model predicts a target variable based on two features, feature1 and feature2. It's a basic example to demonstrate model saving and uploading to Hugging Face Hub.
Training Data
The model was trained on a small, synthetic dataset:
feature1: [1, 2, 3, 4, 5] feature2: [5, 4, 3, 2, 1] target: [2, 4, 6, 8, 10]
Usage
To use this model, you can load it using joblib and make predictions:
import joblib from huggingface_hub import hf_hub_download
Download the model file
model_path = hf_hub_download(repo_id="Ashpgsem/rdmai", filename="linear_regression_modelV2.joblib")
Load the model
model = joblib.load(model_path)
Make a prediction
import pandas as pd new_data = pd.DataFrame([{'feature1': 6, 'feature2': 0}]) prediction = model.predict(new_data) print(f"Prediction: {prediction}")
Evaluation
Since this is a dummy model, formal evaluation metrics are not extensively provided. The model perfectly fits the provided dummy data.
Limitations
This model is for demonstration purposes only and should not be used for real-world applications without proper training on relevant data and thorough evaluation.