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@ -101,7 +101,7 @@ including their sub-sections (see [WebApp sections](#webapp-access) below).
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## WebApp Interface
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Configurations can be viewed in web UI experiment pages, in the **CONFIGURATIONS** panel.
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Configurations can be viewed in web UI experiment pages, in the **CONFIGURATION** tab.
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The configuration panel is split into three sections according to type:
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- **User Properties** - Modifiable section that can be edited post-execution.
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@ -158,6 +158,6 @@ The following table describes the task states and state transitions.
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## SDK Interface
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See [the task SDK interface](../clearml_sdk/task_sdk.md) for an overview for using the most basic Pythonic methods of the `Task`class.
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See [the task SDK interface](../clearml_sdk/task_sdk.md) for an overview for using the most basic Pythonic methods of the `Task` class.
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See the [Task reference page](../references/sdk/task.md) for a complete list of available list.
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@ -52,14 +52,13 @@ Logger.current_logger().report_scalar(
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)
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```
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These scalars can be visualized in plots, which appear in the ClearML web UI, in the experiment's
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page **>** **SCALARS**.
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These scalars can be visualized in plots, which appear in the ClearML web UI, in the experiment's **SCALARS** tab.
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -22,4 +22,4 @@ This example accomplishes a task pipe by doing the following:
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1. Setting the newly cloned Task's parameters to the search values in the parameter dictionary (Step 2). See [Task.set_parameters](../../references/sdk/task.md#set_parameters).
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1. Enqueuing the newly cloned Task to execute. See [Task.enqueue](../../references/sdk/task.md#taskenqueue).
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When the example script runs, it creates an instance of the template experiment, named `Auto generated cloned task` which is associated with the `examples` project. In the instance, the value of the customized parameter, `Example_Param` changed to `3`. You can see it in **CONFIGURATIONS** **>** **HYPER PARAMETERS**.
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When the example script runs, it creates an instance of the template experiment, named `Auto generated cloned task` which is associated with the `examples` project. In the instance, the value of the customized parameter, `Example_Param` changed to `3`. You can see it in **CONFIGURATION** **>** **HYPER PARAMETERS**.
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@ -67,7 +67,7 @@ param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(
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Task.current_task().connect(param)
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```
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All the hyperparameters appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS**.
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All the hyperparameters appear in **CONFIGURATION** **>** **HYPER PARAMETERS**.
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@ -24,7 +24,7 @@ additional_parameters = {
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Task.current_task().connect(additional_parameters)
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```
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Command line options appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -20,7 +20,7 @@ which are titled **:monitor: machine**.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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@ -55,7 +55,7 @@ task_params['nb_epoch'] = 6
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task_params['hidden_dim'] = 512
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```
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Parameter dictionaries appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **General**.
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Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
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@ -37,7 +37,7 @@ Histograms for layer density appear in **PLOTS**.
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ClearML automatically logs command line options generated with `argparse`, and TensorFlow Definitions.
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Command line options appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -60,6 +60,6 @@ method.
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task.connect_configuration({'test': 1337, 'nested': {'key': 'value', 'number': 1}})
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```
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It appears in **CONFIGURATIONS** **>** **CONFIGURATION OBJECTS** **>** **General**.
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It appears in **CONFIGURATION** **>** **CONFIGURATION OBJECTS** **>** **General**.
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@ -14,8 +14,8 @@ The example script does the following:
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in the experiment's **CONFIGURATIONS**
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page under **HYPER PARAMETERS** **>** **Args**.
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ClearML automatically logs command line options defined with `argparse`. They appear in the experiment's **CONFIGURATION**
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tab under **HYPER PARAMETERS** **>** **Args**.
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@ -25,7 +25,7 @@ The example script's `train` function calls TensorBoardX's `SummaryWriter.add_sc
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ClearML automatically captures the data that is added to the `SummaryWriter` object.
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These scalars can be visualized in plots, which appear in the ClearML [WebApp](../../../webapp/webapp_home.md), in the
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experiment's **SCALARS** page.
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experiment's **SCALARS** tab.
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@ -36,7 +36,7 @@ a call to the [Task.connect](../../../../../references/sdk/task.md#connect) meth
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configuration_dict = {'number_of_epochs': 10, 'batch_size': 4, 'dropout': 0.25, 'base_lr': 0.001}
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configuration_dict = task.connect(configuration_dict) # enabling configuration override by clearml
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Parameter dictionaries appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **General**.
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Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
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@ -22,7 +22,7 @@ The optimizer Task, `Hyperparameter Optimization`, and the experiments appear in
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### Hyperparameters
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The `HyperParameterOptimizer`'s configuration, which is provided when the object instantiated, are stored under the
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optimizer task's **CONFIGURATIONS** **>** **HYPER PARAMETERS**.
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optimizer task's **CONFIGURATION** **>** **HYPER PARAMETERS**.
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```python
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optimizer = HyperParameterOptimizer(
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@ -65,7 +65,7 @@ All console output appears in the optimizer task's **CONSOLE**.
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### Scalars
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Scalar metrics for total accuracy and remaining budget by iteration, and a plot of total accuracy by iteration appear in the
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experiment's **SCALARS**. Remaining budget indicates the percentage of total iterations for all jobs left before that total is reached.
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experiment's **SCALARS** tab. Remaining budget indicates the percentage of total iterations for all jobs left before that total is reached.
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ClearML automatically reports the scalars generated by `HyperParameterOptimizer`.
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@ -35,7 +35,7 @@ a call to the [Task.connect](../../../../../references/sdk/task.md#connect) meth
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configuration_dict = {'number_of_epochs': 3, 'batch_size': 4, 'dropout': 0.25, 'base_lr': 0.001}
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configuration_dict = task.connect(configuration_dict) # enabling configuration override by clearml
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Parameter dictionaries appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **General**.
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Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
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@ -26,7 +26,7 @@ configuration_dict = {
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configuration_dict = task.connect(configuration_dict)
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```
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Command line options appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -41,13 +41,13 @@ Logger.current_logger().report_scalar(
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```
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These scalars can be visualized in plots, which appear in the [ClearML web UI](../../../webapp/webapp_overview.md), in
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the experiment's page **>** **SCALARS**.
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the experiment's **SCALARS** tab.
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## Hyperparameters
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ClearML automatically logs command line options defined with abseil flags. They appear in **CONFIGURATIONS** **>**
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ClearML automatically logs command line options defined with abseil flags. They appear in **CONFIGURATION** **>**
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**HYPER PARAMETERS** **>** **TF_DEFINE**.
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@ -58,7 +58,7 @@ param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(
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Task.current_task().connect(param)
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```
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Command line options appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -40,7 +40,7 @@ in the experiment's page **>** **SCALARS**.
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
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@ -28,7 +28,7 @@ ClearML automatically tracks images and text output to TensorFlow. They appear i
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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@ -22,7 +22,7 @@ appear in the experiment's page in the [web UI](../../../webapp/webapp_overview.
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>**
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>**
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**HYPER PARAMETERS** **>** **Args**.
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@ -9,12 +9,12 @@ associated with the `examples` project.
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## Debug Samples
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The debug sample images appear according to metric, in the experiment page in the **ClearML web UI** under **DEBUG SAMPLES**.
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The debug sample images appear according to metric, in the experiment's **DEBUG SAMPLES** tab.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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@ -20,7 +20,7 @@ The loss and accuracy metric scalar plots appear in the experiment's page in the
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## Hyperparameters
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>**
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ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>**
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**HYPER PARAMETERS** **>** **Args**.
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@ -12,7 +12,7 @@ the `examples` project.
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## Debug Samples
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ClearML automatically captures the video data that is added to the `SummaryWriter` object, using the `add_video` method.
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The video appears in the experiment page in the ClearML web UI under **DEBUG SAMPLES**.
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The video appears in the experiment's **DEBUG SAMPLES** tab.
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@ -27,7 +27,7 @@ In the **ClearML Web UI**, the PR Curve summaries appear in the experiment's pag
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>**
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>**
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**TF_DEFINE**.
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## Hyperparameters
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS**
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ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS**
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**>** **TF_DEFINE**.
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@ -11,7 +11,7 @@ the `examples` project.
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## Scalars
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ClearML automatically captures scalars logged with XGBoost, which can be visualized in plots in the
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ClearML WebApp, in the experiment's **SCALARS** page.
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ClearML WebApp, in the experiment's **SCALARS** tab.
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@ -7,7 +7,7 @@ example demonstrates reporting a series as a surface plot and as a 3D scatter pl
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When the script runs, it creates an experiment named `3D plot reporting`, which is associated with the `examples` project.
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ClearML reports these plots in the **ClearML Web UI** **>** experiment page **>** **PLOTS** tab.
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ClearML reports these plots in the experiment's **PLOTS** tab.
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## Surface Plot
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* ClearML's automatic logging of `argparse` command line options and TensorFlow Definitions
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* Logging user-defined hyperparameters with a parameter dictionary and connecting the dictionary to a Task.
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Hyperparameters appear in the **web UI** in the experiment's page, under **CONFIGURATIONS** **>** **HYPER PARAMETERS**.
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Hyperparameters appear in the **web UI** in the experiment's page, under **CONFIGURATION** **>** **HYPER PARAMETERS**.
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Each type is in its own subsection. Parameters from older experiments are grouped together with the ``argparse`` command
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line options (in the **Args** subsection).
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@ -48,7 +48,7 @@ Logger.current_logger().report_image(
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)
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```
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ClearML reports these images as debug samples in the **ClearML Web UI** **>** experiment details **>**
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ClearML reports these images as debug samples in the **ClearML Web UI**, under the experiment's
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**DEBUG SAMPLES** tab.
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@ -32,7 +32,7 @@ Clone the experiment to create an editable copy for tuning.
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To demonstrate tuning, change two hyperparameter values.
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1. In the info panel, **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args** **>** Hover and click **EDIT**.
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1. In the info panel, **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args** **>** Hover and click **EDIT**.
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1. Change the value of `batch_size` from `64` to `32`.
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@ -204,7 +204,7 @@ first. Use the viewer / player to inspect images, audio, video samples and do an
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**To view a debug sample in the viewer / player:**
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1. Click the debug sample click the thumbnail.
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1. Click the debug sample thumbnail.
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1. Do any of the following:
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**To view a debug sample in the viewer / player:**
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1. Click the debug sample click the thumbnail.
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1. Click the debug sample thumbnail.
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1. Do any of the following:
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@ -138,7 +138,7 @@ Add, change, or delete hyperparameters, which are organized in the **ClearML Web
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**To add, change, or delete hyperparameters:**
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* In the **CONFIGURATIONS** tab **>** **HYPER PARAMETERS** > **General** **>** hover **>** **EDIT** **>** add, change,
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* In the **CONFIGURATION** tab **>** **HYPER PARAMETERS** > **General** **>** hover **>** **EDIT** **>** add, change,
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or delete keys and /or values **>** **SAVE**.
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@ -150,7 +150,7 @@ except experiments whose status is *Published* (read-only).
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**To add, change, or delete user properties:**
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* In **CONFIGURATIONS** **>** **USER PROPERTIES** > **Properties** **>** hover **>** **EDIT** **>** add, change, or delete
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* In **CONFIGURATION** **>** **USER PROPERTIES** > **Properties** **>** hover **>** **EDIT** **>** add, change, or delete
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keys and /or values **>** **SAVE**.
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@ -164,7 +164,7 @@ CONFIGURATION** section. Task model configurations now appear in **CONFIGURATION
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**To add, change, or delete the Task model configurations:**
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* In **CONFIGURATIONS** **>** **CONFIGURATION OBJECTS** **>** **GENERAL** **>** hover **>** **EDIT** or **CLEAR** (if the
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* In **CONFIGURATION** **>** **CONFIGURATION OBJECTS** **>** **GENERAL** **>** hover **>** **EDIT** or **CLEAR** (if the
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configuration is not empty).
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### Artifacts
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Reference in New Issue
Block a user