🚀 Installation

Getting access to TruLens

These installation instructions assume that you have conda installed and added to your path.

1. Create a virtual environment (or modify an existing one).

   conda create -n "<my_name>" python=3.7  # Skip if using existing environment.
   conda activate <my_name>
   

2. Install dependencies.

   conda install tensorflow-gpu=1  # Or whatever backend you're using.
   conda install keras             # Or whatever backend you're using.
   conda install matplotlib        # For visualizations.
   

3. [Pip installation] Install the trulens pip package from PyPI.

   pip install trulens
   

4. [Local installation] If you would like to develop or modify TruLens, you can download the source code by cloning the TruLens repo.

   git clone https://github.com/truera/trulens.git
   

5. [Local installation] Install the TruLens repo.

   cd trulens_explain
   pip install -e .