You are building an Azure Machine Learning experiment.
You need to transform a string column into a label column for a Multiclass Decision Jungle module.
Which module should you use?
A.
Select Columns Transform
B.
Group Categorical Values
C.
Convert to Indicator Values
D.
Edit Metadata
These are not sufficient questions. There are many others like drag and drop modules in AML to create regression model, etc
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Could you tell me where I can get these questions please?
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Could you tell me how to get these questions please?
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2017 New 70-774 Exam Dumps and 70-774 PDF Dumps:https://www.braindump2go.com/70-774.html
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Edit Metadata
・Treating Boolean or numeric columns as categorical values
・Indicating which column contains the class label, or the values you want to categorize or predict
・Marking columns as features
・Changing date/time values to a numeric value, or vice versa
・Renaming columns
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Convert to Indicator Values
・The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
FROM：
Server ID Failure score
10301 Low
10302 Medium
10303 High
TO：
Server ID Failure score – Low Failure score – Medium Failure score – High
10301 1 0 0
10302 0 1 0
10303 0 0 1
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I think both Edit Meta Data and Convert to Indicator Vales can do (the later convert the string column (delay, na) to say a 1/0 column (SAY 1=DELAY, 0=NO DELAY) FOR 2 CLASSES.
If talking about “transform” a column into label column then Edit Meta Data is a more direct answer. I have seen others put Convert to Indicator Values as answer.
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Edit Metadata is correct.
Typical metadata changes might include:
– Treating Boolean or numeric columns as categorical values
– Indicating which column contains the class label, or the values you want to categorize or predict
– Marking columns as features
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