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docs/guides/frameworks/tensorflow/integration_keras_tuner.md
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title: Keras Tuner Integration
---
Integrate **ClearML** into code that uses [Keras Tuner](https://www.tensorflow.org/tutorials/keras/keras_tuner). By
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.
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.
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.
The `ClearMLTunerLogger` class provides the required binding for ClearML automatic logging.
```python
tuner = kt.Hyperband(
@@ -35,21 +35,21 @@ When the script runs, it logs:
## Scalars
**ClearML** logs the scalars from training each network. They appear in the project's page in the **ClearML web UI**, under
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
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**.
ClearML automatically stores the output model. It appears in **ARTIFACTS** **>** **Output Model**.
![image](../../../img/integration_keras_tuner_03.png)
@@ -65,7 +65,7 @@ The model configuration is stored with the model.
### Hyperparameters
**ClearML** automatically logs the TensorFlow Definitions, which appear in **RESULTS** **>** **CONFIGURATION** **>** **HYPER PARAMETERS**.
ClearML automatically logs the TensorFlow Definitions, which appear in **RESULTS** **>** **CONFIGURATION** **>** **HYPER PARAMETERS**.
![image](../../../img/integration_keras_tuner_01.png)