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@ -11,7 +11,7 @@ remote machine. The ClearML PyCharm plugin detects the git details on the local
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machine, and passes that information to the remote machine to be registered to a [task](../../fundamentals/task.md).
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machine, and passes that information to the remote machine to be registered to a [task](../../fundamentals/task.md).
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* Pass user credentials to a remote machine - Multiple users can use the same resource for execution without compromising
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* Pass user credentials to a remote machine - Multiple users can use the same resource for execution without compromising
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private credentials (assuming the entire code base, including `.git` already exists on the remote machine)
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private credentials (assuming the entire code base, including `.git` already exists on the remote machine).
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* Run the [ClearML Agent](../../clearml_agent.md) on default VMs/Containers.
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* Run the [ClearML Agent](../../clearml_agent.md) on default VMs/Containers.
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@ -21,7 +21,7 @@ task = Task.init(task_name="<task_name>", project_name="<project_name>")
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This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details,
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This will create a [ClearML Task](../fundamentals/task.md) that captures your script's information, including Git details,
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uncommitted code, python environment, all information logged through `TensorboardLogger`, and more.
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uncommitted code, python environment, all information logged through `TensorboardLogger`, and more.
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Visualize all the captured information in the experiment's page in ClearML's [WebApp](#webapp)
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Visualize all the captured information in the experiment's page in ClearML's [WebApp](#webapp).
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See a code example [here](https://github.com/allegroai/clearml/blob/master/examples/frameworks/ignite/cifar_ignite.py).
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See a code example [here](https://github.com/allegroai/clearml/blob/master/examples/frameworks/ignite/cifar_ignite.py).
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@ -44,7 +44,7 @@ For example:
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```python
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```python
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auto_connect_frameworks={
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auto_connect_frameworks={
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'matplotlib': True, 'tensorflow': False, 'tensorboard': False, 'pytorch': True,
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'tensorflow': False, 'matplotlib': True, 'tensorboard': False, 'pytorch': True,
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'xgboost': False, 'scikit': True, 'fastai': True, 'lightgbm': False,
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'xgboost': False, 'scikit': True, 'fastai': True, 'lightgbm': False,
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'hydra': True, 'detect_repository': True, 'tfdefines': True, 'joblib': True,
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'hydra': True, 'detect_repository': True, 'tfdefines': True, 'joblib': True,
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'megengine': True, 'jsonargparse': True, 'catboost': True
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'megengine': True, 'jsonargparse': True, 'catboost': True
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@ -96,7 +96,7 @@ See [Explicit Reporting Tutorial](../guides/reporting/explicit_reporting.md).
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## Examples
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## Examples
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Take a look at ClearML's XGBoost examples. The examples use XGBOost and ClearML in different configurations with
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Take a look at ClearML's XGBoost examples. The examples use XGBoost and ClearML in different configurations with
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additional tools, like Matplotlib and scikit-learn:
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additional tools, like Matplotlib and scikit-learn:
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* [XGBoost Metric](../guides/frameworks/xgboost/xgboost_metrics.md) - Demonstrates ClearML automatic logging of XGBoost models and plots
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* [XGBoost Metric](../guides/frameworks/xgboost/xgboost_metrics.md) - Demonstrates ClearML automatic logging of XGBoost models and plots
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* [XGBoost and scikit-learn](../guides/frameworks/xgboost/xgboost_sample.md) - Demonstrates ClearML automatic logging of XGBoost scalars and models
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* [XGBoost and scikit-learn](../guides/frameworks/xgboost/xgboost_sample.md) - Demonstrates ClearML automatic logging of XGBoost scalars and models
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@ -172,7 +172,7 @@ module.exports = {
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{'Scikit-Learn': ['guides/frameworks/scikit-learn/sklearn_joblib_example', 'guides/frameworks/scikit-learn/sklearn_matplotlib_example']},
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{'Scikit-Learn': ['guides/frameworks/scikit-learn/sklearn_joblib_example', 'guides/frameworks/scikit-learn/sklearn_matplotlib_example']},
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{'TensorBoardX': ['guides/frameworks/tensorboardx/tensorboardx', "guides/frameworks/tensorboardx/video_tensorboardx"]},
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{'TensorBoardX': ['guides/frameworks/tensorboardx/tensorboardx', "guides/frameworks/tensorboardx/video_tensorboardx"]},
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{
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{
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'Tensorflow': ['guides/frameworks/tensorflow/tensorboard_pr_curve', 'guides/frameworks/tensorflow/tensorboard_toy',
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'TensorFlow': ['guides/frameworks/tensorflow/tensorboard_pr_curve', 'guides/frameworks/tensorflow/tensorboard_toy',
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'guides/frameworks/tensorflow/tensorflow_mnist', 'guides/frameworks/tensorflow/integration_keras_tuner']
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'guides/frameworks/tensorflow/tensorflow_mnist', 'guides/frameworks/tensorflow/integration_keras_tuner']
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},
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},
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{'XGBoost': ['guides/frameworks/xgboost/xgboost_sample', 'guides/frameworks/xgboost/xgboost_metrics']}
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{'XGBoost': ['guides/frameworks/xgboost/xgboost_sample', 'guides/frameworks/xgboost/xgboost_metrics']}
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