Installing mlquantify#

The mlquantify library can be easily installed via pip. Below are detailed installation instructions, including its dependencies and differences in using a virtual environment across operating systems.

Dependencies#

Before installing mlquantify, ensure you have the following dependencies:

  • scikit-learn

  • pandas

  • numpy

  • joblib

  • tqdm

  • matplotlib

  • xlrd

pip will automatically install these dependencies if they are not already present in your environment.

Installation#

To install the library, use the following command:

pip install mlquantify

Using Virtual Environments#

It is recommended to use virtual environments to manage project dependencies. Below are the instructions for different operating systems.

### Linux/macOS

  1. Create a virtual environment:

    python3 -m venv mlquantify_env

  2. Activate the virtual environment:

    source mlquantify_env/bin/activate

  3. Install the library:

    pip install mlquantify

  4. To deactivate the virtual environment:

    deactivate

### Windows

  1. Create a virtual environment:

    python -m venv mlquantify_env

  2. Activate the virtual environment:

    mlquantify_env\Scripts\activate

  3. Install the library:

    pip install mlquantify

  4. To deactivate the virtual environment:

    deactivate

Now, mlquantify is ready to be used in your project!