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Merge remote-tracking branch 'upstream/main' into time-series-examples
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‎.github/workflows/notebooks.yml

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name: Execute Jupyter Notebooks
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on:
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push:
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paths:
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- '**.ipynb'
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jobs:
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test:
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runs-on: ubuntu-latest
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strategy:
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matrix:
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python-version: [3.8, 3.9]
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steps:
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- name: Check out code
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uses: actions/checkout@v2
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- name: Set up Python ${{ matrix.python-version }}
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uses: actions/setup-python@v2
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install JRE
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run: sudo apt-get update && sudo apt-get install -y default-jre
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- name: Install Jupyter
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run: pip install jupyter
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- name: Install TrustyAI
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run: pip install trustyai trustyai[extras]
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- name: Install nbconvert
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run: pip install nbconvert
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- name: Execute notebooks
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run: |
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for notebook in $(find . -name '*.ipynb'); do
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jupyter nbconvert --execute $notebook --to notebook --inplace
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done

‎examples/Counterfactuals.ipynb

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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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]
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"execution_count": 35,
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"id": "6c1cdfbb",
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"metadata": {
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"jupyter": {
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},
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"pycharm": {
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"name": "#%%\n"
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}
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"metadata": {
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"pycharm": {
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}
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"metadata": {
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}
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"metadata": {
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},
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"pycharm": {
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}
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"execution_count": 39,
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"id": "cba7660b",
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"metadata": {
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},
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"pycharm": {
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}
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"metadata": {
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"jupyter": {
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},
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"pycharm": {
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"id": "b21e4832",
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"metadata": {
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"jupyter": {
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"outputs_hidden": false
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},
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"pycharm": {
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"name": "#%%\n"
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}
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"metadata": {
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"id": "4c4bad16",
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"metadata": {
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"metadata": {
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"metadata": {
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"metadata": {
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‎examples/Lime.ipynb

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"cells": [
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{
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"id": "7cab43eb",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"execution_count": null,
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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]
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],
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"metadata": {
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"collapsed": false
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},
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"id": "7cab43eb"
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},
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{
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"cell_type": "markdown",

‎examples/PDP.ipynb

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"cells": [
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"execution_count": null,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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]

‎examples/SHAP.ipynb

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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "192b323c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip available: \u001b[0m\u001b[31;49m22.3.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.0.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
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]
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}
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],
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"outputs": [],
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"source": [
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"from trustyai.utils import TestModels\n",
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"from trustyai.model import feature, output, Model, Dataset\n",

‎examples/TSICE.ipynb

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"id": "3f02eae5-f871-457a-9750-526581319e8b",
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"metadata": {},
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"source": [
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"<a id='imports'></a>\n",
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"### Imports"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "5fb65e97bbebff9a"
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},
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{
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"execution_count": 1,

‎examples/TSLime.ipynb

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"The example model is a pre-trained keras model and hosted on huggingface hub. So, this notebook requires to install tensorflow 2.4+ and huggingface_hub packages."
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "b7b41b9eb1a6c3a1"
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},
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],
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"metadata": {
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"kernelspec": {
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"name": "trustyai-explainability-python-examples",
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"name": "python3",
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"display_name": "trustyai-explainability-python-examples"
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"display_name": "Python 3"
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‎examples/TSSaliency.ipynb

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"The example model is a pre-trained keras model and hosted on huggingface hub. So, this notebook requires to install tensorflow 2.4+ and huggingface_hub packages."
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [
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"%pip install -r ../requirements-examples.txt --quiet"
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],
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"metadata": {
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"collapsed": false
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},
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"id": "82e190cfe952ae16"
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},
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‎requirements-examples.txt

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matplotlib~=3.6.3
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tensorflow
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keras
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huggingface-hub
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huggingface-hub
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trustyai[extras]

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