Request to Contribute to this repo

[erickgarciailw]

Hi Dan and Srini,

I have created a conda environment that will go well with this repo. I was hoping you could allow me to push a new branch conda_env into this repo so you guys may review. Thanks!

[erickgarciailw]

# Explainable AI

**Increase Trust and Confidence in your ML models through Explainable AI**

Business users may be reluctant to accept predictions made by ML models without understanding how the models made them. Lack of understanding leads to lower trust and acceptance. Data Scientists need mechanisms to understand why their models may be deviating from desired predictions and how they could make corrections. This talk will look at how to build transparency into ML pipelines and prediction, providing business users visibility to the process and outcomes.

This repository holds the presentation material and code that accompanies it.

## Libraries

1. lime
2. matplotlib
3. numpy
4. pandas
5. sklearn

## Setup

1. Create conda environment

  ```sh
  conda env create -f xai_env.yml

2. Activate conda environment

   conda activate xai

3. Add it to the jupyter notebook kernel

Author

Srinivas Anand

Changelog

8/16 - Added conda environment to go with these jupyter notebooks.

[erickgarciailw]

name: xai
channels:
  - conda-forge
  - defaults
dependencies:
  - asttokens=2.2.1
  - backcall=0.2.0
  - backports=1.0
  - backports.functools_lru_cache=1.6.5
  - bzip2=1.0.8
  - ca-certificates=2023.7.22
  - colorama=0.4.6
  - comm=0.1.4
  - debugpy=1.6.7
  - decorator=5.1.1
  - executing=1.2.0
  - importlib-metadata=6.8.0
  - importlib_metadata=6.8.0
  - ipykernel=6.25.1
  - ipython=8.14.0
  - jedi=0.19.0
  - jupyter_client=8.3.0
  - jupyter_core=5.3.1
  - libffi=3.4.4
  - libsodium=1.0.18
  - matplotlib-inline=0.1.6
  - nest-asyncio=1.5.6
  - openssl=3.0.10
  - packaging=23.1
  - parso=0.8.3
  - pickleshare=0.7.5
  - pip=23.2.1
  - platformdirs=3.10.0
  - prompt-toolkit=3.0.39
  - prompt_toolkit=3.0.39
  - psutil=5.9.0
  - pure_eval=0.2.2
  - pygments=2.16.1
  - python=3.10.12
  - python-dateutil=2.8.2
  - python_abi=3.10
  - pywin32=305
  - pyzmq=23.2.1
  - setuptools=68.0.0
  - six=1.16.0
  - sqlite=3.41.2
  - stack_data=0.6.2
  - tk=8.6.12
  - tornado=6.2
  - traitlets=5.9.0
  - typing-extensions=4.7.1
  - typing_extensions=4.7.1
  - tzdata=2023c
  - vc=14.2
  - vs2015_runtime=14.27.29016
  - wcwidth=0.2.6
  - wheel=0.38.4
  - xz=5.4.2
  - zeromq=4.3.4
  - zipp=3.16.2
  - zlib=1.2.13
  - pip:
      - contourpy==1.1.0
      - cycler==0.11.0
      - fonttools==4.42.0
      - imageio==2.31.1
      - joblib==1.3.2
      - kiwisolver==1.4.4
      - lazy-loader==0.3
      - lime==0.2.0.1
      - matplotlib==3.7.2
      - networkx==3.1
      - numpy==1.22.0
      - pandas==1.4.0
      - pillow==10.0.0
      - pyparsing==3.0.9
      - pytz==2023.3
      - pywavelets==1.4.1
      - scikit-image==0.21.0
      - scikit-learn==1.3.0
      - scipy==1.11.1
      - sklearn==0.0.post7
      - threadpoolctl==3.2.0
      - tifffile==2023.8.12
      - tqdm==4.66.1
prefix: C:\Users\garciae\AppData\Local\miniconda3\envs\xai