fixing the issues with sample notebooks markdown images (#960)

Co-authored-by: Ilya Matiach <ilmat@microsoft.com>

README.md

@@ -29,7 +29,7 @@ In order to achieve these capabilities, the toolbox integrates together ideas an
 
 
 <p align="center">
-<img src="./img/responsible-ai-toolbox.png
+<img src="./img/responsibleai-toolbox.png
 " alt="responsible-ai-toolbox" width="500"/>
 
 Responsible AI Toolbox is designed to achieve the following goals:

notebooks/responsibleaitoolbox-dashboard/getting-started.ipynb

@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "aaf96116",
    "metadata": {},
    "source": [
     "# Getting Started"
@@ -10,7 +9,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0088f8b5",
    "metadata": {},
    "source": [
     "## Installation"
@@ -18,7 +16,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5bff11e6",
    "metadata": {},
    "source": [
     "Use the following `pip` commands to install the Responsible AI Toolbox."
@@ -27,33 +24,30 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "48497813",
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install responsibleai\n",
     "!pip install raiwidgets"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "613c46bc",
    "metadata": {},
    "source": [
     "## Dependencies"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "a52fca92",
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "!pip install --upgrade pandas"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "5206c19e",
    "metadata": {},
    "source": [
     "## Overview & Setup"
@@ -61,7 +55,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "96ccd4a2",
    "metadata": {},
    "source": [
     "Responsible AI Toolbox is an interoperable, customizable tool that empowers machine learning practitioners to evaluate their models and data based on their place in the model lifecycle.\n",
@@ -72,7 +65,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "498e59fd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -82,7 +74,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3b679269",
    "metadata": {},
    "source": [
     "It is necessary to initialize a ModelAnalysis object upon which the different components can be loaded. `task_type` holds the string `'regression'` or `'classification'` depending on the developer's purpose."
@@ -91,7 +82,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4e1c574c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,7 +91,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "9b64a9d5",
    "metadata": {},
    "source": [
     "The Interpretability and Error Analysis components can be added to the dashboard without any additional arguments:"
@@ -110,7 +99,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9d722ba7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -120,7 +108,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "59301444",
    "metadata": {},
    "source": [
     "The Causal Inferencing component must be added with a specification of the feature that would be changed as a treatment."
@@ -129,7 +116,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3caad47d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -138,7 +124,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2cd2d71b",
    "metadata": {},
    "source": [
     "The Counterfactuals component takes arguments specifying the number of counterfactuals to generate, the list of columns containing continuous values, and the desired label of the counterfactuals."
@@ -146,7 +131,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5097342b",
    "metadata": {},
    "source": [
     "In a classification situation, `desired_class` must specify the classification that the generated counterfactuals would fall into."
@@ -155,7 +139,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e2615df4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -164,7 +147,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7089bc96",
    "metadata": {},
    "source": [
     "In a regression situation, `desired_range` must specify the minimum and maximum label that the generated counterfactuals can have."
@@ -173,7 +155,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5f932308",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -182,7 +163,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0afd20a7",
    "metadata": {},
    "source": [
     "## Computing and Visualizing Insights"
@@ -190,7 +170,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e9731602",
    "metadata": {},
    "source": [
     "After loading the components into the ModelAnalysis object, it is necessary to calculate values relevant to them, such as model metrics and counterfactuals."
@@ -199,7 +178,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "73a905b7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -208,7 +186,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ab3fb1bc",
    "metadata": {},
    "source": [
     "Once the values for each component have been computed, they can be displayed by loading the ModelAnalysis object into a ModelAnalysisDashboard."
@@ -217,7 +194,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "95e172c9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -226,7 +202,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1707444d",
    "metadata": {},
    "source": [
     "## Learn More"
@@ -234,7 +209,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16b4993a",
    "metadata": {},
    "source": [
     "Visit the [GitHub](https://github.com/microsoft/responsible-ai-widgets) of Responsible AI Toolbox for more details, and take this [dashboard tour](./responsibleaitoolbox-tour.ipynb) for an explanation of the different parts of each component."
@@ -257,7 +231,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.9"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,