Configuring and Training CIC Advisor Models with P6 Data

To manage information displayed in Construction Intelligence Cloud Advisor, as administrators you have to select models that need to be trained for predicting outcomes.

Note: A seed model or initial model is also delivered for each problem. Oracle recommends that you train the seed model before using it for predictions.

To set up and train models with specific features enabled:

Sign in to the administration application of CIC Advisor.
http://<host>:<port>/cicadmin
In the sidebar, click ML Workbench.
From the Data Source list, select a P6 data source.
From the Problem list, select a predefined area of improvement that you want to focus in CIC Advisor for the selected P6 data source.
In the Model section, add a model for the selected problem as follows:
1. Click Add Model, and then click OK to confirm your selection.
  By default, the model is named as CustomModel1.
  
  The following information is displayed for each model:
  - Model Name: A user-friendly name to identify a model.
  - Prediction Enabled: Indicates that a model is used for predictions. For each problem, only one model which has been trained can be used for predictions.
  - Training Enabled: Indicates that a model is being trained. Multiple models can be trained for a problem.
  - Create Date: The date on which the model was added.
  - Update Date: The date on which the model was previously updated.
  - Train Status: The current status of the model being trained. Choices include: Failed, Completed.
  - Train Start Time: Time when the training process for the model was initiated.
  - Train Finish Time: Time when the training process for the model was completed.
  - Last Training Date: The date on which the model previously trained.
    Note: Prediction can be enabled for a model only if a model has a Last Training Date.
  - Training Log: Click View Logs to view the log file containing details corresponding to each model that has been trained.
  - Prediction Status: The current status of the model enabled for prediction. Choices include: Failed, Completed.
  - Prediction Start Time: Time when the prediction process for the model was initiated.
  - Prediction Finish Time: Time when the prediction process for the model was completed.
  - Prediction Log: Click View Logs to view details of the prediction process run for the model that has been enabled for prediction. Accuracy: It is the ratio of correct predictions to the total number of predictions.
2. In the Model Name field, click Edit, and rename the model.
3. In the Description section, enter information that describes the purpose of the model.
Enable features for a model:
1. In the Model section, select a row to select the model whose feature you want to enable.
2. In the Features section, select the Enabled check box to activate each feature for the selected model.
3. Select Save.
To add multiple models for each problem, repeat steps 5 and 6 for each problem.
To train the models:
1. In the Model section, select the Training Enabled check box for one or more models across all problems.
2. Click Train Model(s).

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