diff --git a/docs/clearml_agent.md b/docs/clearml_agent.md
index 8d4823c6..69ff597c 100644
--- a/docs/clearml_agent.md
+++ b/docs/clearml_agent.md
@@ -61,7 +61,7 @@ Install ClearML Agent as a system Python package and not in a Python virtual env
clearml-agent init
```
- The setup wizard prompts for **ClearML** credentials (see [here](webapp/webapp_profile.md#creating-clearml-credentials) about obtaining credentials).
+ The setup wizard prompts for **ClearML** credentials (see [here](webapp/webapp_profile.md#clearml-credentials) about obtaining credentials).
CLEARML-AGENT setup process
diff --git a/docs/deploying_clearml/clearml_config_for_clearml_server.md b/docs/deploying_clearml/clearml_config_for_clearml_server.md
index c7ffcacd..4b378005 100644
--- a/docs/deploying_clearml/clearml_config_for_clearml_server.md
+++ b/docs/deploying_clearml/clearml_config_for_clearml_server.md
@@ -6,13 +6,13 @@ title: Configuring ClearML for Your ClearML Server
This documentation page applies to deploying your own open source ClearML Server. It does not apply to ClearML Hosted Service users.
:::
-The **ClearML** configuration file that will be initialized will contain the host URLs of the **ClearML Server**, and
-**ClearML** credentials, allowing the code to integrate with the server. Later, **ClearML** can be tailored to fit requirements
+The ClearML **configuration file** that will be initialized will contain the host URLs of the **ClearML Server**, and
+ClearML credentials, allowing the code to integrate with the server. Later, ClearML can be tailored to fit requirements
by setting [configuration options](../configs/clearml_conf.md).
**To configure ClearML for your ClearML Server:**
1. If not installed already, install `clearml` (see [install](../getting_started/ds/ds_first_steps.md))
-1. In a terminal session, run the **ClearML** setup wizard.
+1. In a terminal session, run the ClearML setup wizard.
```
clearml-init
```
@@ -21,7 +21,7 @@ by setting [configuration options](../configs/clearml_conf.md).
Learn about creating multiple ClearML configuration files
- Additional **ClearML** configuration files can be created, for example, to use inside Docker containers when executing
+ Additional ClearML configuration files can be created, for example, to use inside Docker containers when executing
a Task.
Use the `--file` option for `clearml-init`.
@@ -42,7 +42,7 @@ by setting [configuration options](../configs/clearml_conf.md).
If the setup wizard's response indicates that a configuration file already exists, follow the instructions in
[here](#add-clearml-to-a-configuration-file). The wizard does not edit or overwrite existing configuration files.
- 1. The setup wizard prompts for **ClearML** credentials.
+ 1. The setup wizard prompts for ClearML credentials.
ClearML SDK setup process
@@ -53,7 +53,7 @@ by setting [configuration options](../configs/clearml_conf.md).
Paste copied configuration here:
- 1. Get **ClearML** credentials. Open the **ClearML Web UI** in a browser. On the **PROFILE** page, click
+ 1. Get ClearML credentials. Open the ClearML Web UI in a browser. On the **SETTINGS > WORKSPACE** page, click
**Create new credentials** **>** **Copy to clipboard**.
1. At the command prompt `Paste copied configuration here:`, copy and paste the **ClearML** credentials.
diff --git a/docs/deploying_clearml/clearml_server_config.md b/docs/deploying_clearml/clearml_server_config.md
index 1bd0e000..ba464df3 100644
--- a/docs/deploying_clearml/clearml_server_config.md
+++ b/docs/deploying_clearml/clearml_server_config.md
@@ -9,7 +9,7 @@ This documentation page applies to deploying your own open source ClearML Server
This page describes the **ClearML Server** [deployment](#clearml-server-deployment-configuration) and [feature](#clearml-server-feature-configurations) configurations. Namely, it contains instructions on how to configure **ClearML Server** for:
* [Sub-domains and load balancers](#sub-domains-and-load-balancers) - An AWS load balancing example
-* [Opening Elasticsearch, MongoDB, and Redis for External Access](#opening-elasticsearch-mongodb-and-redis-for-external-access).
+* [Opening Elasticsearch, MongoDB, and Redis for External Access](#opening-elasticsearch-mongodb-and-redis-for-external-access)
* [Web login authentication](#web-login-authentication) - Create and manage users and passwords
* [Using hashed passwords](#using-hashed-passwords) - Option to use hashed passwords instead of plain-text passwords
* [Non-responsive Task watchdog](#non-responsive-task-watchdog) - For inactive experiments
diff --git a/docs/faq.md b/docs/faq.md
index 87d5d19f..a822fa20 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -128,7 +128,7 @@ When a new ClearML Server version is available, the notification is:
**How do I find out ClearML version information?**
-ClearML server version information is available in the ClearML webapp profile page. On the bottom right of the page,
+ClearML server version information is available in the ClearML webapp Settings page. On the bottom right of the page,
it says **Version**, followed by three numbers: the web application version, the API server version, and the API version.

@@ -162,7 +162,7 @@ that metric column.
**Can I store more information on the models?**
-Yes! For example, you can use the [Task.set_model_label_enumeration](references/sdk/task.md#set_model_label_enumerationenumerationnone)
+Yes! For example, you can use the [Task.set_model_label_enumeration](references/sdk/task.md#set_model_label_enumeration)
method to store label enumeration:
```python
@@ -176,7 +176,7 @@ For more information about `Task` class methods, see the [Task Class](fundamenta
**Can I store the model configuration file as well?**
-Yes! Use the [Task.set_model_config](references/sdk/task.md#set_model_configconfig_textnone-config_dictnone)
+Yes! Use the [Task.set_model_config](references/sdk/task.md#set_model_config)
method:
```python
@@ -708,7 +708,7 @@ Yes! You can run ClearML in Jupyter Notebooks using either of the following:
**Option 2: Install ClearML in your Jupyter Notebook**
-1. In the ClearML Web UI, Profile page, create credentials and copy your access key and secret key. These are required in the Step 3.
+1. In the ClearML Web UI > **Settings > Workspace** page, create credentials and copy your access key and secret key. These are required in the Step 3.
1. Install the ClearML Python Package.
diff --git a/docs/guides/frameworks/pytorch/pytorch_mnist.md b/docs/guides/frameworks/pytorch/pytorch_mnist.md
index 55f1d257..04ec970e 100644
--- a/docs/guides/frameworks/pytorch/pytorch_mnist.md
+++ b/docs/guides/frameworks/pytorch/pytorch_mnist.md
@@ -33,13 +33,14 @@ Logger.current_logger().report_scalar(
)
```
-These scalars can be visualized in plots, which appear in the **ClearML web UI**, in the experiment's
-page **>** **RESULTS** **>** **SCALARS**.
+These scalars can be visualized in plots, which appear in the ClearML [web UI](../../../webapp/webapp_overview.md),
+in the experiment's page **>** **RESULTS** **>** **SCALARS**.
+

## Hyperparameters
-**ClearML** automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.
+ClearML automatically logs command line options defined with `argparse`. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS** **>** **Args**.

diff --git a/docs/guides/frameworks/pytorch/pytorch_tensorboard.md b/docs/guides/frameworks/pytorch/pytorch_tensorboard.md
index 84488153..8c8ec23f 100644
--- a/docs/guides/frameworks/pytorch/pytorch_tensorboard.md
+++ b/docs/guides/frameworks/pytorch/pytorch_tensorboard.md
@@ -15,7 +15,8 @@ The example does the following:
## Scalars
In the example script, the `train` and `test` functions call the TensorBoard `SummaryWriter.add_scalar` method to log loss.
-These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the experiment's page in the **ClearML web UI** under **RESULTS** **>** **SCALARS**,
+These scalars, along with the resource utilization plots, which are titled **:monitor: machine**, appear in the experiment's
+page in the [ClearML web UI](../../../webapp/webapp_overview.md) under **RESULTS** **>** **SCALARS**.

diff --git a/docs/guides/frameworks/tensorboardx/tensorboardx.md b/docs/guides/frameworks/tensorboardx/tensorboardx.md
index b0cbfddc..43acc8a3 100644
--- a/docs/guides/frameworks/tensorboardx/tensorboardx.md
+++ b/docs/guides/frameworks/tensorboardx/tensorboardx.md
@@ -6,10 +6,10 @@ The [pytorch_tensorboardX.py](https://github.com/allegroai/clearml/blob/master/e
example demonstrates the integration of ClearML into code that uses PyTorch and TensorBoardX.
The script does the following:
-* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist) dataset.
+* Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist) dataset
* Creates an experiment named `pytorch with tensorboardX` which is associated with the `examples` project
* ClearML automatically captures scalars and text logged using the TensorBoardX `SummaryWriter` object, and
- the model created by PyTorch.
+ the model created by PyTorch
## Scalars
diff --git a/docs/hyperdatasets/webapp/webapp_dataviews.md b/docs/hyperdatasets/webapp/webapp_dataviews.md
index a2fe2c73..4878b17c 100644
--- a/docs/hyperdatasets/webapp/webapp_dataviews.md
+++ b/docs/hyperdatasets/webapp/webapp_dataviews.md
@@ -1,5 +1,5 @@
---
-title: Dataviews Table
+title: The Dataviews Table
---
[Dataviews](../dataviews.md) appear in the same Project as the experiment that stored the Dataview in the ClearML Enterprise platform,
diff --git a/docs/img/webapp_compare_0194.png b/docs/img/webapp_compare_0194.png
deleted file mode 100644
index 1a22df08..00000000
Binary files a/docs/img/webapp_compare_0194.png and /dev/null differ
diff --git a/docs/webapp/webapp_exp_comparing.md b/docs/webapp/webapp_exp_comparing.md
index 5da7f39a..89e61446 100644
--- a/docs/webapp/webapp_exp_comparing.md
+++ b/docs/webapp/webapp_exp_comparing.md
@@ -9,7 +9,7 @@ The **ClearML Web UI** provides a deep experiment comparison, allowing to locate
- [Artifacts](#artifacts) - Input model, output model, and model design.
- [Execution](#execution-details) - Installed packages and source code.
- [Configuration](#configuration) - Configuration objects used by the experiment.
-* [Hyper Parameters](#hyperparameters)
+* [Hyperparameters](#hyperparameters)
- [Values (table) view](#values-mode) - Key/value of all the arguments used by the experiments.
- [Parallel coordinates view](#parallel-coordinates-mode) - Impact of each argument on a selected metric
the experiments reported (see [task.connect_configuration](../references/sdk/task.md#connect_configuration)).