Beginning Anomaly Detection Using

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GI> 7LPH @ 

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Figure B-35.  Standardizing the values in the columns Amount and Time

appendix B   intro to pytorch

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395

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Figure B-37.  Defining the anomaly and normal data sets

The output should look somewhat like Figure 

B-36

.

Figure B-36.  The output of the code in figure 

B-35

.

Now you define your normal and anomaly data sets (see Figure 

B-37

.

The output should look like Figure 

B-38

.

Figure B-38.  The output of the code in Figure 

B-37

appendix B   intro to pytorch

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After isolating the anomalies from the normal data, let’s create your training and 

testing sets (see Figure 

B-39

.