Ashpgsem/rdmai_v2

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):

0
2
4
5
4
5

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.