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Getting access to TruLens Explain

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
  5. [Local installation] Install the TruLens repo.

    cd trulens_explain
    pip install -e .