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ChemBERTa-ExtraTrees integration for accurate predicting the melting point and density of deep eutectic solvents

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tingtingwuwu/CET-DESs-melting-point-density

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My Project

This project aims to predict the properties of Deep Eutectic Solvents (DESs) using CET model.

Installation

  1. Clone the repository:
    git clone https://github.com/your_username/my_project.git
  2. Navigate to the project directory:
    cd my_project
  3. Install the required dependencies:
    pip install -r requirements.txt

Usage

To run the main script, use the following command:

python main.py --model chemberta

You can also choose to use the K-BERT model:

python main.py --model kbert

Example

Here is an example of how to use the project:

  1. Ensure you have the necessary data file (e.g., compound_data.xlsx) in the appropriate path.
  2. Run the main script with the desired model:
    python main.py --model chemberta
    or
    python main.py --model kbert

This will preprocess the data, extract features using the chosen model, and evaluate the regression models.

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ChemBERTa-ExtraTrees integration for accurate predicting the melting point and density of deep eutectic solvents

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