> For the complete documentation index, see [llms.txt](https://docs.sdv.dev/sdv/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sdv.dev/sdv/explore/sdv-bundles/targeted-sampling.md).

# ❖ Targeted Sampling

The **Targeted Sampling** bundle allows you to create synthetic data that is specific and targeted to your usage. You can use targeted sampling to:

:star: **Create minimum viable synthetic test sets** for software testing and QA. Define the exact values that you need across multiple tables, and let SDV handle the rest.

:star: **De-bias and rebalance your datasets**. Adjust the proportions of values to generate in the synthetic data to create a more balanced, fairer representation of the data you'd like to use for ML development.

:star: **Generate hypothetical scenarios.** Create edge cases and situations that don't exist in the real data — but are theoretically possible to observe.

{% hint style="info" icon="user" %}
Bundles are available to licensed users. Sign up now to get your license key. You can then complete your installation on-prem and begin using the features.

<p align="center"><a href="https://portal.datacebo.com/signup" class="button primary">Get Started</a><a href="https://datacebo.com/pricing/" class="button secondary">View Pricing</a></p>
{% endhint %}

## Included Features

The Targeted Sampling bundle currently supports [**multi-table conditional sampling**](/sdv/sampling/conditional.md) for the HSA and Independent Synthesizers.

```python
from sdv.sampling import Condition, MultiTableCondition

# Step 1: Create Single-Table Conditions
resort_hotels = Condition(
    num_rows=10,
    table_name='hotels',
    column_values={'classification': 'RESORT'})

suite_guests_with_rewards = Condition(
    table_name='guests'
    column_values={'room_type': 'SUITE', 'has_rewards': True})

# Step 2: Compose Multi-Table Conditions    
suites_in_resorts = MultiTableCondition(
    conditions=[resort_hotels, suite_guests_with_rewards])

# Step 3: Sample Synthetic Data
synthetic_data = synthesizer.sample_from_conditions([suite_guests_with_rewards])
```

## Installation

Use your SDV Enterprise credentials to install SDV Enterprise and all bundles that you have access to.

```bash
% pip install sdv-installer --upgrade
% sdv-installer install --upgrade
```

```
Username: <email>
License Key: ********************************

Installing SDV Enterprise:
sdv-enterprise (version 0.30.0) - Installed!

Installing Bundles:
bundle-cag - Installed!
bundle-xsynthesizers - Installed!

Success! All packages have been installed. You are ready to use SDV Enterprise.
```


---

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