clearml-docs/docs/guides/frameworks/tensorflow/integration_keras_tuner.md

---
title: Keras Tuner Integration
---

Integrate **ClearML** into code that uses [Keras Tuner](https://www.tensorflow.org/tutorials/keras/keras_tuner). By 
specifying `ClearMLTunerLogger` (see [kerastuner.py](https://github.com/allegroai/clearml/blob/master/clearml/external/kerastuner.py)) 
as the Keras Tuner logger, **ClearML** automatically logs scalars and hyperparameter optimization.  

## ClearMLTunerLogger

Take a look at [keras_tuner_cifar.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/kerastuner/keras_tuner_cifar.py) 
example script, which demonstrates the integration of **ClearML** in a code that uses Keras Tuner. 

The script does the following:
1. Creates a `Hyperband` object, which uses Keras Tuner's `Hyperband` tuner. It finds the best hyperparameters to train a 
   network on a CIFAR10 dataset.
1. When the `Hyperband` object is created, instantiates a `ClearMLTunerLogger` object and assigns it to the `Hyperband` logger.
The `ClearMLTunerLogger` class provides the required binding for **ClearML** automatic logging. 

```python
tuner = kt.Hyperband(
    build_model,
    project_name='kt examples',
    logger=ClearMLTunerLogger(),
    objective='val_accuracy',
    max_epochs=10,
    hyperband_iterations=6)
```

When the script runs, it logs: 
* Tabular summary of hyperparameters tested and their metrics by trial ID
* Scalar plot showing metrics for all runs
* Summary plot
* Output model with configuration and snapshot location.

## Scalars

**ClearML** logs the scalars from training each network. They appear in the project's page in the **ClearML web UI**, under
**RESULTS** **>** **SCALARS**.

![image](../../../img/integration_keras_tuner_06.png)

## Summary of Hyperparameter Optimization

**ClearML** automatically logs the parameters of each experiment run in the hyperparameter search. They appear in tabular 
form in **RESULTS** **>** **PLOTS**.

![image](../../../img/integration_keras_tuner_07.png)

## Artifacts

**ClearML** automatically stores the output model. It appears in **ARTIFACTS** **>** **Output Model**.

![image](../../../img/integration_keras_tuner_03.png)

Model details, such as snap locations, appear in the **MODELS** tab.

![image](../../../img/integration_keras_tuner_04.png)

The model configuration is stored with the model.

![image](../../../img/integration_keras_tuner_05.png)

## Configuration Objects

### Hyperparameters

**ClearML** automatically logs the TensorFlow Definitions, which appear in **RESULTS** **>** **CONFIGURATION** **>** **HYPER PARAMETERS**.

![image](../../../img/integration_keras_tuner_01.png)

### Configuration

The Task configuration appears in **RESULTS** **>** **CONFIGURATION** **>** **General**.

![image](../../../img/integration_keras_tuner_02.png)