Difference between revisions of "Orange: Apply Domain"

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Given dataset and template transforms the dataset.
 
Given dataset and template transforms the dataset.
  
Inputs
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==Input==
  
    Data: input dataset
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Data: input dataset
 +
Template Data: template for transforming the dataset
  
    Template Data: template for transforming the dataset
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==Output==
 
 
Outputs
 
  
 
     Transformed Data: transformed dataset
 
     Transformed Data: transformed dataset
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The widget receives a dataset and a template dataset used to transform the dataset.
 
The widget receives a dataset and a template dataset used to transform the dataset.
Example
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 +
==Contoh==
  
 
We will use iris data from the File widget for this example. To create two separate data sets, we will use Select Rows and set the condition to iris is one of iris-setosa, iris-versicolor. This will output a data set with a 100 rows, half of them belonging to iris-setosa class and the other half to iris-versicolor.
 
We will use iris data from the File widget for this example. To create two separate data sets, we will use Select Rows and set the condition to iris is one of iris-setosa, iris-versicolor. This will output a data set with a 100 rows, half of them belonging to iris-setosa class and the other half to iris-versicolor.

Revision as of 08:04, 28 January 2020

Sumber: https://docs.biolab.si//3/visual-programming/widgets/data/applydomain.html


Given dataset and template transforms the dataset.

Input

Data: input dataset
Template Data: template for transforming the dataset

Output

   Transformed Data: transformed dataset

Apply Domain maps new data into a transformed space. For example, if we transform some data with PCA and wish to observe new data in the same space, we can use Apply Domain to map the new data into the PCA space created from the original data.

ApplyDomain.png

The widget receives a dataset and a template dataset used to transform the dataset.

Contoh

We will use iris data from the File widget for this example. To create two separate data sets, we will use Select Rows and set the condition to iris is one of iris-setosa, iris-versicolor. This will output a data set with a 100 rows, half of them belonging to iris-setosa class and the other half to iris-versicolor.

We will transform the data with PCA and select the first two components, which explain 96% of variance. Now, we would like to apply the same preprocessing on the ‘new’ data, that is the remaining 50 iris virginicas. Send the unused data from Select Rows to Apply Domain. Make sure to use the Unmatched Data output from Select Rows widget. Then add the Transformed data output from PCA.

Apply Domain will apply the preprocessor to the new data and output it. To add the new data to the old data, use Concatenate. Use Transformed Data output from PCA as Primary Data and Transformed Data from Apply Domain as Additional Data.

Observe the results in a Data Table or in a Scatter Plot to see the new data in relation to the old one.

ApplyDomain-Example.png



Referensi

Pranala Menarik