Linear Regression Model for Ashpgsem
This is a simple linear regression model trained on dummy data.
Model Description
This model is a sklearn.linear_model.LinearRegression instance. It was trained to predict a target variable y_train based on two features, feature1 and feature2.
Training Data
The model was trained on the following dummy data:
Features (X_train):
| feature1 | feature2 |
|---|
| 1 | 5 |
| 2 | 4 |
| 3 | 3 |
| 4 | 2 |
| 5 | 1 |
Target (y_train):
Training Procedure
The model was trained using the default parameters of sklearn.linear_model.LinearRegression.
Usage
This model can be loaded using skops.io:
import skops.io as sio
from huggingface_hub import hf_hub_download
model_path = hf_hub_download(repo_id="Ashpgsem/rdmai_v2", filename="linear_regression_model.skops")
model = sio.load(model_path)
Example prediction
import pandas as pd
new_data = pd.DataFrame({'feature1': [6, 7], 'feature2': [0, -1]})
predictions = model.predict(new_data)
print(predictions)
Limitations
This model is trained on very limited dummy data and should not be used for any real-world applications. It serves purely as an example for demonstrating model saving and sharing on Hugging Face Hub.
