Small edits (#434)

docs/guides/frameworks/autokeras/autokeras_imdb_example.md

@@ -20,7 +20,7 @@ which are titled **:monitor: machine**.
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_keras_16.png)
 

docs/guides/frameworks/keras/jupyter.md

@@ -53,7 +53,7 @@ task_params['nb_epoch'] = 6
 task_params['hidden_dim'] = 512
 ```
 
-Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
+Parameter dictionaries appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **General**.
 
 ![image](../../../img/examples_keras_jupyter_20.png)
 

docs/guides/frameworks/keras/keras_tensorboard.md

@@ -37,7 +37,7 @@ Histograms for layer density appear in **PLOTS**.
 
 ClearML automatically logs command line options generated with `argparse`, and TensorFlow Definitions.
 
-Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
+Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../img/examples_keras_00.png)
 

docs/guides/frameworks/lightgbm/lightgbm_example.md

@@ -19,7 +19,7 @@ The scalars logged in the experiment can be visualized in a plot, which appears
 
 ## Hyperparameters
 
-ClearML automatically logs the configurations applied to LightGBM. They appear in **CONFIGURATIONS > HYPER PARAMETERS > GENERAL**.
+ClearML automatically logs the configurations applied to LightGBM. They appear in **CONFIGURATIONS > HYPERPARAMETERS > GENERAL**.
 
 ![LightGBM hyperparameters](../../../img/examples_lightgbm_config.png)
 

docs/guides/frameworks/megengine/megengine_mnist.md

@@ -15,7 +15,7 @@ The example script does the following:
 ## Hyperparameters
 
 ClearML automatically logs command line options defined with `argparse`. They appear in the experiment's **CONFIGURATION** 
-tab under **HYPER PARAMETERS** **>** **Args**.
+tab under **HYPERPARAMETERS** **>** **Args**.
 
 ![Configuration tab](../../../img/examples_megengine_mnist_config.png)
 

docs/guides/frameworks/pytorch/notebooks/audio/audio_classification_UrbanSound8K.md

@@ -42,7 +42,7 @@ configuration_dict = {
 }
 configuration_dict = task.connect(configuration_dict)  # enabling configuration override by clearml
 ```
-Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
+Parameter dictionaries appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **General**.
 
 ![image](../../../../../img/examples_audio_classification_UrbanSound8K_01.png)
 

docs/guides/frameworks/pytorch/notebooks/image/hyperparameter_search.md

@@ -22,7 +22,7 @@ The optimizer Task, `Hyperparameter Optimization`, and the experiments appear in
 ### Hyperparameters
 
 The `HyperParameterOptimizer`'s configuration, which is provided when the object instantiated, are stored under the 
-optimizer task's **CONFIGURATION** **>** **HYPER PARAMETERS**.
+optimizer task's **CONFIGURATION** **>** **HYPERPARAMETERS**.
 
 ```python
 optimizer = HyperParameterOptimizer(
@@ -101,7 +101,7 @@ Use the ClearML Web UI [experiment comparison](../../../../../webapp/webapp_exp_
 
 ### Side by Side Hyperparameter Value Comparison
 
-In the experiment comparison window, **HYPER PARAMETERS** tab, select **Values** in the list (the right of **+ Add Experiment**), and hyperparameter differences appear with a different background color.
+In the experiment comparison window, **HYPERPARAMETERS** tab, select **Values** in the list (the right of **+ Add Experiment**), and hyperparameter differences appear with a different background color.
 
 ![Hyperparameter comparison](../../../../../img/examples_hyperparameter_search_06.png)
 

docs/guides/frameworks/pytorch/notebooks/image/image_classification_CIFAR10.md

@@ -35,7 +35,7 @@ a call to the [Task.connect](../../../../../references/sdk/task.md#connect) meth
     configuration_dict = {'number_of_epochs': 3, 'batch_size': 4, 'dropout': 0.25, 'base_lr': 0.001}
     configuration_dict = task.connect(configuration_dict)  # enabling configuration override by clearml
 
-Parameter dictionaries appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **General**.
+Parameter dictionaries appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **General**.
 
 ![image](../../../../../img/examples_image_classification_CIFAR10_01.png)
 

docs/guides/frameworks/pytorch/notebooks/text/text_classification_AG_NEWS.md

@@ -26,7 +26,7 @@ configuration_dict = {
 configuration_dict = task.connect(configuration_dict)  
 ```
     
-Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
+Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../../../img/text_classification_AG_NEWS_01.png)
 

docs/guides/frameworks/pytorch/pytorch_abseil.md

@@ -48,7 +48,7 @@ the experiment's **SCALARS** tab.
 ## Hyperparameters
 
 ClearML automatically logs command line options defined with abseil flags. They appear in **CONFIGURATION** **>** 
-**HYPER PARAMETERS** **>** **TF_DEFINE**.
+**HYPERPARAMETERS** **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_pytorch_abseil_params.png)
 

docs/guides/frameworks/pytorch/pytorch_distributed_example.md

@@ -58,11 +58,11 @@ param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(
 Task.current_task().connect(param)
 ```
 
-Command line options appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
+Command line options appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../img/examples_pytorch_distributed_example_01.png)
 
-Parameter dictionaries appear in the **General** section of **HYPER PARAMETERS**.
+Parameter dictionaries appear in the **General** section of **HYPERPARAMETERS**.
 
 ```python
 param = {'worker_{}_stuff'.format(dist.get_rank()): 'some stuff ' + str(randint(0, 100))}

docs/guides/frameworks/pytorch/pytorch_mnist.md

@@ -40,7 +40,7 @@ in the experiment's page **>** **SCALARS**.
 
 ## Hyperparameters
 
-ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **Args**.
+ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../img/examples_pytorch_mnist_01.png)
 

docs/guides/frameworks/pytorch/pytorch_tensorboard.md

@@ -28,7 +28,7 @@ ClearML automatically tracks images and text output to TensorFlow. They appear i
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_pytorch_tensorboard_01.png)
 

docs/guides/frameworks/pytorch/pytorch_tensorboardx.md

@@ -23,7 +23,7 @@ appear in the experiment's page in the [web UI](../../../webapp/webapp_overview.
 ## Hyperparameters
 
 ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** 
-**HYPER PARAMETERS** **>** **Args**.
+**HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../img/examples_pytorch_tensorboardx_01.png)
 

docs/guides/frameworks/pytorch/tensorboard_toy_pytorch.md

@@ -15,6 +15,6 @@ The debug sample images appear according to metric, in the experiment's **DEBUG
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_tensorboard_toy_pytorch_00.png)

docs/guides/frameworks/pytorch_lightning/pytorch_lightning_example.md

@@ -22,7 +22,7 @@ plots are automatically captured by ClearML.
 ## Hyperparameters
 
 ClearML automatically logs command line options defined with argparse and TensorFlow Definitions, which appear in 
-**CONFIGURATIONS > HYPER PARAMETERS > Args** and **TF_DEFINE** respectively. 
+**CONFIGURATIONS > HYPERPARAMETERS > Args** and **TF_DEFINE** respectively. 
 
 ![PyTorch Lightning parameters](../../../img/examples_pytorch_lightning_params.png)
 

docs/guides/frameworks/tensorboardx/tensorboardx.md

@@ -21,7 +21,7 @@ The loss and accuracy metric scalar plots appear in the experiment's page in the
 ## Hyperparameters
 
 ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATION** **>** 
-**HYPER PARAMETERS** **>** **Args**.
+**HYPERPARAMETERS** **>** **Args**.
 
 ![image](../../../img/examples_pytorch_tensorboardx_01.png)
 

docs/guides/frameworks/tensorflow/integration_keras_tuner.md

@@ -65,7 +65,7 @@ The model configuration is stored with the model.
 
 ### Hyperparameters
 
-ClearML automatically logs the TensorFlow Definitions, which appear in **CONFIGURATION** **>** **HYPER PARAMETERS**.
+ClearML automatically logs the TensorFlow Definitions, which appear in **CONFIGURATION** **>** **HYPERPARAMETERS**.
 
 ![image](../../../img/integration_keras_tuner_01.png)
 

docs/guides/frameworks/tensorflow/tensorboard_pr_curve.md

@@ -27,7 +27,7 @@ In the **ClearML Web UI**, the PR Curve summaries appear in the experiment's pag
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** **TF_DEFINE**.
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_tensorboard_pr_curve_04.png)
 

docs/guides/frameworks/tensorflow/tensorboard_toy.md

@@ -30,7 +30,7 @@ ClearML automatically tracks images and text output to TensorFlow. They appear i
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** **>** 
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** **>** 
 **TF_DEFINE**.
 
 ![image](../../../img/examples_tensorboard_toy_01.png)

docs/guides/frameworks/tensorflow/tensorflow_mnist.md

@@ -17,7 +17,7 @@ The loss and accuracy metric scalar plots appear in the experiment's page in the
 
 ## Hyperparameters
 
-ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPER PARAMETERS** 
+ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATION** **>** **HYPERPARAMETERS** 
 **>** **TF_DEFINE**.
 
 ![image](../../../img/examples_tensorflow_mnist_01.png)