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Original file line number Diff line number Diff line change
Expand Up @@ -44,8 +44,8 @@ You should receive a response like the following:
"access_token": "<< your access token >>",
"token_type": "bearer",
"expires_in": 43199,
"scope": "uaa.resource ner-trial!b49985.default",
"jti": "ab76a0adefbc4ddda6da2e5f382862d1"
"scope": "<< granted access >>",
"jti": "<< unique identifier >>"
}
```

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Original file line number Diff line number Diff line change
@@ -0,0 +1,128 @@
---
title: Use Free Tier to Set Up Account for Data Attribute Recommendation and Get Service Key
description: Use the Free Tier service plan and an SAP BTP booster to automatically create a service instance, and the associated service key for Data Attribute Recommendation.
auto_validation: true
time: 5
tags: [tutorial>beginner, topic>machine-learning, topic>artificial-intelligence, topic>cloud, software-product>sap-business-technology-platform, software-product>sap-ai-business-services, software-product>data-attribute-recommendation, tutorial>free-tier]
primary_tag: topic>machine-learning
---

## Prerequisites
- You have created an account on SAP BTP to try out free tier service plans: [Get an Account on SAP BTP to Try Out Free Tier Service Plans](btp-free-tier-account)
- You are entitled to use the Data Attribute Recommendation service: [Manage Entitlements Using the Cockpit](btp-cockpit-entitlements).

## Details
### You will learn
- How to access your SAP BTP account
- What are interactive guided boosters
- How to use the **Set up account for Data Attribute Recommendation** booster to assign entitlements, update your subaccount, create a service instance and the associated service key for Data Attribute Recommendation.
---

[ACCORDION-BEGIN [Step 1: ](Go to your SAP BTP account)]

1. Open the [SAP BTP cockpit](https://account.hana.ondemand.com/cockpit#/home/allaccounts).

2. Access your global account.

!![global account](global-account.png)

>You can also perform this tutorial series using a trial account. For that, follow the steps in [Use Trial to Set Up Account for Data Attribute Recommendation and Get Service Key](cp-aibus-dar-booster-key).

[DONE]
[ACCORDION-END]


[ACCORDION-BEGIN [Step 2: ](Run booster)]

SAP Business Technology Platform creates interactive guided boosters to automate cockpit steps, so users can save time when trying out the services.

Now, you will use the **Set up account for Data Attribute Recommendation** booster to automatically assign entitlements, update your subaccount, create a service instance and the associated service key for Data Attribute Recommendation.

1. On the navigation side bar, click **Boosters**.

!![Service Key](access-booster.png)

2. Search for **Data Attribute Recommendation** and click the tile to access the booster.

!![Service Key](access-booster-tile.png)

3. Click **Start**.

!![Service Key](booster-start.png)

4. Click **Next**.

!![Service Key](booster-next.png)

5. If you want to create a dedicated subaccount for the service instance, choose **Create Subaccount**. If you want to use an already created subaccount, choose **Select Subaccount** (the selection comes in the next step). For this tutorial, we'll create a dedicated subaccount. When you're done if the selection, click **Next**.

!![Service Key](booster-scenario.png)

6. Choose the **free** plan. You can also rename the subaccount to `dar-free-tier-service-plan-tutorial`, for example. Click **Next**.

!![Service Key](booster-subaccount.png)

>You can also perform this tutorial series using the `standard` service plan. For that, choose the `standard` plan in this step (instead of free). For more information on the service plans available for Data Attribute Recommendation, see [Service Plans](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/e28c50aa9b5b41de8ce8d6d46f2a5aac.html).

7. Click **Finish**.

!![Service Key](booster-finish.png)

Follow the progress of the booster automated tasks.

!![Service Key](booster-progress.png)

When the automated tasks are done, see the **Success** dialog box.

!![Service Key](booster-success.png)

[DONE]
[ACCORDION-END]


[ACCORDION-BEGIN [Step 3: ](Get service key)]

You have successfully used the booster **Set up account for Data Attribute Recommendation** to create a service key for Data Attribute Recommendation.

Click **Download Service Key** to save the service key locally on your computer.

!![Service Key](booster-success-key.png)

>If you face any issue with the booster **Set up account for Data Attribute Recommendation**, you can alternatively follow the steps in [Set Up a BTP Account for Tutorials](group.btp-setup) to manually create the service instance and service key for Data Attribute Recommendation using the free tier service plan.

Step 4 is optional. If you're not interested, you can set it to **Done** and go directly to the next tutorial.

[VALIDATE_1]
[ACCORDION-END]


[ACCORDION-BEGIN [Step 4: ](Access service instance and service key (optional))]

> This is an optional step. Use it only if you want to access the service instance and service key, you created with the **Set up account for Data Attribute Recommendation** booster, without having to run it once again.

Do the following to access your service instance and service key, without having to run the **Set up account for Data Attribute Recommendation** booster once again:

1. Close the booster **Success** dialog box.

!![Service Key](leave-success.png)

2. Access your global account.

!![Service Key](access-global-account.png)

3. Click **Account Explorer** on the navigation side bar and access the subaccount you used to create the service instance and service key for Data Attribute Recommendation.

!![Service Key](subaccounts.png)

4. Click **Instances and Subscriptions** on the navigation side bar. You see the service instance you created with the **Set up account for Data Attribute Recommendation** booster.

!![Service Key](service-instance.png)

5. Click the navigation arrow to open the details of your service instance. Select **Service Keys (1)**. Then, click the dots to **View**, **Download** or **Delete** your service key.

!![Service Key](service-key.png)

Congratulations, you have completed this tutorial.

[DONE]
[ACCORDION-END]
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Original file line number Diff line number Diff line change
@@ -0,0 +1,96 @@
---
title: Use Free Tier to Set Up Account for Data Attribute Recommendation and Download Postman Sample Files
description: Use the Free Tier service plan and an SAP BTP booster to automatically create a service instance, and download Postman environment and collection JSON sample code files for Data Attribute Recommendation.
auto_validation: true
time: 5
tags: [tutorial>beginner, topic>machine-learning, topic>artificial-intelligence, topic>cloud, software-product>sap-business-technology-platform, software-product>sap-ai-business-services, software-product>data-attribute-recommendation, tutorial>free-tier]
primary_tag: topic>machine-learning
author_name: Juliana Morais
author_profile: https://github.com/Juliana-Morais
---

## Prerequisites
- You have created an account on SAP BTP to try out free tier service plans: [Get an Account on SAP BTP to Try Out Free Tier Service Plans](btp-free-tier-account)
- You are entitled to use the Service Ticket Intelligence service: [Manage Entitlements Using the Cockpit](btp-cockpit-entitlements).

## Details
### You will learn
- How to access your SAP BTP account
- What are interactive guided boosters
- How to use the **Set up account for Data Attribute Recommendation** booster to assign entitlements, update your subaccount, create a service instance, and also to download Postman environment and collection JSON sample code files for Data Attribute Recommendation.
---

[ACCORDION-BEGIN [Step 1: ](Go to your SAP BTP account)]

1. Open the [SAP BTP cockpit](https://account.hana.ondemand.com/cockpit#/home/allaccounts).

2. Access your global account.

!![Postman](global-account.png)

>You can also perform this tutorial series using a trial account. For that, follow the steps in [Use Trial to Set Up Account for Data Attribute Recommendation and Download Postman Sample Files](cp-aibus-dar-booster-postman).

[DONE]
[ACCORDION-END]


[ACCORDION-BEGIN [Step 2: ](Run booster)]

SAP Business Technology Platform creates interactive guided boosters to automate cockpit steps, so users can save time when trying out the services.

Now, you will use the **Set up account for Data Attribute Recommendation** booster to automatically assign entitlements, update your subaccount, create a service instance and the associated service key for Data Attribute Recommendation.

1. On the navigation side bar, click **Boosters**.

!![Postman](access-booster.png)

2. Search for **Data Attribute Recommendation** and click the tile to access the booster.

!![Postman](access-booster-tile.png)

3. Click **Start**.

!![Postman](booster-start.png)

4. Click **Next**.

!![Postman](booster-next.png)

5. If you want to create a dedicated subaccount for the service instance, choose **Create Subaccount**. If you want to use an already created subaccount, choose **Select Subaccount** (the selection comes in the next step). For this tutorial, we'll create a dedicated subaccount. When you're done if the selection, click **Next**.

!![Postman](booster-scenario.png)

6. Choose the **free** plan. You can also rename the subaccount to `dar-free-tier-service-plan-tutorial`, for example. Click **Next**.

!![Postman](booster-subaccount.png)

>You can also perform this tutorial series using the `standard` service plan. For that, choose the `standard` plan in this step (instead of free). For more information on the service plans available for Data Attribute Recommendation, see [Service Plans](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/e28c50aa9b5b41de8ce8d6d46f2a5aac.html).

7. Click **Finish**.

!![Postman](booster-finish.png)

Follow the progress of the booster automated tasks.

!![Postman](booster-progress.png)

When the automated tasks are done, see the **Success** dialog box.

!![Postman](booster-success.png)

[VALIDATE_1]
[ACCORDION-END]


[ACCORDION-BEGIN [Step 3: ](Download Postman sample files)]

Download Postman environment and collection sample files. Make a local copy of the files.

!![Postman](booster-success-postman.png)

>If you face any issue with the booster **Set up account for Data Attribute Recommendation**, you can alternatively follow the steps in [Set Up a BTP Account for Tutorials](group.btp-setup) to manually create the service instance and service key for Data Attribute Recommendation using the free tier service plan, and download and edit the Postman environment and collection sample files, as described in [Set Up Postman to Call Data Attribute Recommendation APIs](cp-aibus-dar-setup-postman).

Congratulations, you have completed this tutorial. You are now all set to [Install Postman REST Client](api-tools-postman-install) and [Set Up Postman to Call Data Attribute Recommendation APIs](cp-aibus-dar-setup-postman).

[DONE]
[ACCORDION-END]
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
---
title: Set Up Account for Data Attribute Recommendation and Get Service Key
title: Use Trial to Set Up Account for Data Attribute Recommendation and Get Service Key
description: Use a booster in SAP BTP Trial to automatically create a service instance, and the associated service key for Data Attribute Recommendation.
auto_validation: true
time: 5
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
---
title: Set Up Account for Data Attribute Recommendation and Download Postman Sample Files
description: Use a booster in SAP Business Technology Platform (SAP BTP) Trial to automatically create a service instance, and download Postman environment and collection JSON sample code files for Data Attribute Recommendation.
title: Use Trial to Set Up Account for Data Attribute Recommendation and Download Postman Sample Files
description: Use a booster in SAP BTP Trial to automatically create a service instance, and download Postman environment and collection JSON sample code files for Data Attribute Recommendation.
auto_validation: true
time: 5
tags: [tutorial>beginner, topic>machine-learning, topic>artificial-intelligence, topic>cloud, software-product>sap-business-technology-platform, software-product>sap-ai-business-services, software-product>data-attribute-recommendation]
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ primary_tag: topic>machine-learning
- How to undeploy and delete your model
- How to delete datasets and dataset schemas

Based on your deployed machine learning model you can now classify records. For more information, see [Data Attribute Recommendation help portal documentation](https://help.sap.com/dar). For further definition of specific terms, see [Concepts](https://help.sap.com/viewer/105bcfd88921418e8c29b24a7a402ec3/SHIP/en-US/cff2de73bc9c4625b35eb036439ae70a.html).
Based on your deployed machine learning model you can now classify records. For more information, see [Data Attribute Recommendation help portal documentation](https://help.sap.com/docs/Data_Attribute_Recommendation). For further definition of specific terms, see [Concepts](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/cff2de73bc9c4625b35eb036439ae70a.html).

Business Use Case: After you upload data and train a machine learning model using Data Attribute Recommendation, you will be able to classify the product data. In this tutorial, you will focus on product data classification, including options to undeploy the model, delete dataset and dataset schemas.

Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,11 @@ Please note that trial mode has limits on number of schemas, datasets and models

In order to use your own dataset, you need to define a dataset schema that fits your dataset.

In your dataset, you need to decide which columns will be `features`, for example the inputs for the machine learning model and which columns will be `labels`, for example the fields that will be predicted by the machine learning model. For further definition of specific terms, see [Concepts](https://help.sap.com/viewer/105bcfd88921418e8c29b24a7a402ec3/SHIP/en-US/cff2de73bc9c4625b35eb036439ae70a.html).
In your dataset, you need to decide which columns will be `features`, for example the inputs for the machine learning model and which columns will be `labels`, for example the fields that will be predicted by the machine learning model. For further definition of specific terms, see [Concepts](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/cff2de73bc9c4625b35eb036439ae70a.html).

After you have defined the features and the labels, you will need to note down your dataset schema. Paste the example below into a text file and adapt it to your needs.

Each column in your dataset is represented by a `label` (that is not a label in machine learning sense but rather a field name) and a `type`. The available types are `category`, `text` and `number`. Assign the correct type to each of your features and labels. Please find further description on each type in the [FAQ](https://help.sap.com/viewer/105bcfd88921418e8c29b24a7a402ec3/SHIP/en-US/f7683574a792413faff6f82055152c91.html) under `What kinds of training data can be processed by Data Attribute Recommendation?`
Each column in your dataset is represented by a `label` (that is not a label in machine learning sense but rather a field name) and a `type`. The available types are `category`, `text` and `number`. Assign the correct type to each of your features and labels. Please find further description on each type in the [FAQ](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/f7683574a792413faff6f82055152c91.html) under `What kinds of training data can be processed by Data Attribute Recommendation?`

Note that in `labels` section only `category` types are allowed.

Expand Down Expand Up @@ -67,7 +67,7 @@ Now that you have created your dataset schema, make sure that you save the file.
}
```

Last but not least, you have to make sure that your dataset meets the [prerequisites](https://help.sap.com/viewer/105bcfd88921418e8c29b24a7a402ec3/SHIP/en-US/dbfbd4a0bd2a4a7a8ed9aa25bace7d91.html). The dataset has to:
Last but not least, you have to make sure that your dataset meets the [prerequisites](https://help.sap.com/docs/Data_Attribute_Recommendation/105bcfd88921418e8c29b24a7a402ec3/dbfbd4a0bd2a4a7a8ed9aa25bace7d91.html). The dataset has to:

- be in the CSV format

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