# Opt out of the collection of Amazon SageMaker Debugger usage statistics
<a name="debugger-telemetry"></a>

For all SageMaker training jobs, Amazon SageMaker Debugger runs the [ProfilerReport](debugger-built-in-profiler-rules.md#profiler-report) rule and autogenerates a [SageMaker Debugger interactive report](debugger-profiling-report.md). The `ProfilerReport` rule provides a Jupyter notebook file (`profiler-report.ipynb`) that generates a corresponding HTML file (`profiler-report.html`). 

Debugger collects profiling report usage statistics by including code in the Jupyter notebook that collects the unique `ProfilerReport` rule's processing job ARN if the user opens the final `profiler-report.html` file.

Debugger only collects information about whether a user opens the final HTML report. It **DOES NOT** collect any information from training jobs, training data, training scripts, processing jobs, logs, or the content of the profiling report itself.

You can opt out of the collection of usage statistics using one of the following options.

## (Recommended) Option 1: Opt out before running a training job
<a name="debugger-telemetry-profiler-report-opt-out-1"></a>

To opt out, you need to add the following Debugger `ProfilerReport` rule configuration to your training job request.

------
#### [ SageMaker Python SDK ]

```
estimator=sagemaker.estimator.Estimator(
    ...

    rules=ProfilerRule.sagemaker(
        base_config=rule_configs.ProfilerReport()
        rule_parameters={"opt_out_telemetry": "True"}
    )
)
```

------
#### [ AWS CLI ]

```
"ProfilerRuleConfigurations": [ 
    { 
        "RuleConfigurationName": "ProfilerReport-1234567890",
        "RuleEvaluatorImage": "895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest",
        "RuleParameters": {
            "rule_to_invoke": "ProfilerReport", 
            "opt_out_telemetry": "True"
        }
    }
]
```

------
#### [ AWS SDK for Python (Boto3) ]

```
ProfilerRuleConfigurations=[ 
    {
        'RuleConfigurationName': 'ProfilerReport-1234567890',
        'RuleEvaluatorImage': '895741380848.dkr.ecr.us-west-2.amazonaws.com/sagemaker-debugger-rules:latest',
        'RuleParameters': {
            'rule_to_invoke': 'ProfilerReport',
            'opt_out_telemetry': 'True'
        }
    }
]
```

------

## Option 2: Opt out after a training job has completed
<a name="debugger-telemetry-profiler-report-opt-out-2"></a>

To opt out after training has completed, you need to modify the `profiler-report.ipynb` file. 

**Note**  
HTML reports autogenerated without **Option 1** already added to your training job request still report the usage statistics even after you opt out using **Option 2**.

1. Follow the instructions on downloading the Debugger profiling report files in the [Download the SageMaker Debugger profiling report](debugger-profiling-report-download.md) page.

1. In the `/ProfilerReport-1234567890/profiler-output` directory, open `profiler-report.ipynb`. 

1. Add **opt\$1out=True** to the `setup_profiler_report()` function in the fifth code cell as shown in the following example code:

   ```
   setup_profiler_report(processing_job_arn, opt_out=True)
   ```

1. Run the code cell to finish opting out.