Unverified Commit cb549515 authored by Hiba-Alili's avatar Hiba-Alili Committed by GitHub
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Update the screenshots of the different tabs of AutoFeat (#817)

* update the screenshots of the different tabs of AutoFeat

* change a better screenshot for data preprocessing tab
parent 3aeff8e6
......@@ -1600,7 +1600,7 @@ To get more information about the parameters of the service, please check the se
. You can now access the AutoFeat Page by clicking on the endpoint `AutoFeat` as shown in the image below.
.AutoFeat endpoint
[[_AutoFeat_endpoint]]
image::AutoFeat_endpoint.png[align=center]
You will be redirected to AutoFeat page which initially contains three tabs that we describe in the following sections.
......@@ -1625,7 +1625,7 @@ image::AutoFeat_column_summaries.png[align=center]
=== Data Preprocessing
A preview of the data is displayed in the *Data Preprocessing* as follows.
.Data Preprocessing
[[_Data_Preprocessing]]
image::AutoFeat_edit_column_names_and_types.png["Data Preprocessing",align=center]
It is possible to change a column information. These changes can include:
......@@ -1640,7 +1640,7 @@ It is possible to change a column information. These changes can include:
- _Coding Method_: The encoding method used for converting the categorical data values into numerical values. The value is set to *Auto* by default. Thereafter, the best suited method for encoding the categorical feature is automatically identified. The data scientist still has the ability to override every decision and select another encoding method from the drop-down menu. Different methods are supported by AutoFeat such as *Label*, *OneHot*, *Dummy*, *Binary*, *Base N*, *Hash* and *Target*. Some of those methods require specifying additional encoding parameters. These parameters vary depending on the selected method (e.g., the base and the number of components for BaseN and Hash, respectively, and the target column for Target encoding method). Some of those values are set by default, if no values are specified by the user.
.Data Preprocessing
[[_Data_Preprocessing]]
image::AutoFeat_edit_column_names_and_types_encoding_parameters.png["Data Preprocessing",align=center]
It is also possible to perform the following actions on the dataset:
......@@ -1659,7 +1659,7 @@ This page displays the data encoding results based on the selected parameters. A
The user can also download the results as a csv file by clicking on the *Download* button.
.Encoded data
[[_Encoded_data]]
image::AutoFeat_encoded_data.png[align=center]
=== ML Pipeline Example
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