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Getting Started Refactor part 1
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@@ -7,7 +7,7 @@ on a remote or local machine, from a remote repository and your local machine.
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### Prerequisites
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- [`clearml`](../../getting_started/ds/ds_first_steps.md) Python package installed and configured
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- [`clearml`](../../clearml_sdk/clearml_sdk_setup) Python package installed and configured
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- [`clearml-agent`](../../clearml_agent/clearml_agent_setup.md#installation) running on at least one machine (to execute the task), configured to listen to `default` queue
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### Executing Code from a Remote Repository
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@@ -9,7 +9,7 @@ script.
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## Prerequisites
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* [`clearml-agent`](../../clearml_agent/clearml_agent_setup.md#installation) installed and configured
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* [`clearml`](../../getting_started/ds/ds_first_steps.md#install-clearml) installed and configured
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* [`clearml`](../../clearml_sdk/clearml_sdk_setup#install-clearml) installed and configured
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* [clearml](https://github.com/clearml/clearml) repo cloned (`git clone https://github.com/clearml/clearml.git`)
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## Creating the ClearML Task
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@@ -11,7 +11,7 @@ be used when running optimization tasks.
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## Prerequisites
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* [`clearml-agent`](../../clearml_agent/clearml_agent_setup.md#installation) installed and configured
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* [`clearml`](../../getting_started/ds/ds_first_steps.md#install-clearml) installed and configured
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* [`clearml`](../../clearml_sdk/clearml_sdk_setup#install-clearml) installed and configured
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* [clearml](https://github.com/clearml/clearml) repo cloned (`git clone https://github.com/clearml/clearml.git`)
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## Creating the ClearML Task
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@@ -3,10 +3,10 @@ title: Keras Tuner
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---
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:::tip
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If you are not already using ClearML, see [Getting Started](../../../getting_started/ds/ds_first_steps.md) for setup
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instructions.
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If you are not already using ClearML, see [ClearML Setup instructions](../clearml_sdk/clearml_sdk_setup).
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:::
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Integrate ClearML into code that uses [Keras Tuner](https://www.tensorflow.org/tutorials/keras/keras_tuner). By
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specifying `ClearMLTunerLogger` (see [kerastuner.py](https://github.com/clearml/clearml/blob/master/clearml/external/kerastuner.py))
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as the Keras Tuner logger, ClearML automatically logs scalars and hyperparameter optimization.
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