In this stage, the data (CSV or images) is passed through a machine learning model to identify and predict the output from the data.
- In the INFERENCE tab, click BUILD INFERENCE to predict the data output.
- In the Build Inference form, enter the Inference flow name, that is, the name of the inference model.
- In the Input dataset field, select the training dataset that you created in the first stage that you want to pass through a machine learning model.
- In the Algorithm field, select the prediction algorithm.
- In the Model field, select the trained model that was built in the “build a model” stage.
- In the Output Configuration field, enter the name of the output dataset that will contain the predicted output.
- The output dataset will be encrypted, hence Encrypt Dataset is enabled to add an extra layer of protection to the output data. Copy or download the encryption key to decrypt the output data for viewing.
- Click CREATE INFERENCE FLOW to pass the data through a machine learning model and predict the output. Figure 1: Build inference
- The inference is successfully created. Click RUN below the inference workflow to run the model and predict the output. Figure 2: Run inference
- You will notice the Running indication at the bottom of the workflow. At any point, if there is a need to stop the execution, click STOP. This will re-enable the RUN button. Figure 3: Inference running
- If the model was executed successfully, you would see the status of the execution under the Execution Log. Click the Execution Log link to view the log details. Figure 4: Inference success
- Click the download report icon to download the execution log report. Figure 5: Execution log for data inference
- After the execution is completed successfully, the output is now predicted and ready to be viewed. To view the output, click the DOWNLOAD button. Figure 6: Download output
- 15. In the DOWNLOAD dialog box, enter the Encryption key to decrypt the output. Figure 7: Decrypt output
*.tar.gzfile is generated on your local machine. Extract the contents of the file. The output appears as shown below. A snapshot of the output appears as shown below.
Figure 8: Sample output