Making Predictions Using the ML UI
Follow the steps below to predict a set of values using a built model.
- Start the WSO2 ML server. For instructions on starting, see Running the Product.
Access the ML UI from your Web browser using the following URL:Â https://<ML_HOST>:<ML_PORT>/ml
You can find the URL of the WSO2 ML UI in the server startup logs in the CLI as follows: I
NFO{org.wso2.carbon.ml.core.internal.MLCoreDS} -Â WSO2 Machine Learner UI : https://127.0.0.1:9446/ml
- Log in to the ML UI as a user who is registered in WSO2 ML. For registering users, see User Management.
- Log in to the WSO2 ML UI, if you are not already logged in.Â
Click PROJECTS in the top menu as shown below.Â
- Click on the project which includes the analysis of the model on which you want to make the prediction.
- Click MODELS as shown below.
- Click the PREDICT option of the model on which you want to make the prediction as shown below.Â
- Select File for the Prediction Source, and  upload a CSV or TSV file containing feature values to predict data rows by specifying the data format as shown below.
 Click Predict. This downloads the prediction result in a CSV file (e.g.Â
Predictions_3_2015-08-12_19-33-08.csv
 file) as shown in the example below.10,168,74,0,0,38.0,0.537,34,-9.538673375931532E64 10,139,80,0,0,27.1,1.441,57,-8.290788952350152E64 1,189,60,23,846,30.1,0.398,59,-5.103151579724951E65 5,166,72,19,175,25.8,0.587,51,-1.7860703345567017E65 7,100,0,0,0,30.0,0.484,32,-4.7180385980283585E64 0,118,84,47,230,45.8,0.551,31,-1.91437599142306E65 7,107,74,0,0,29.6,0.254,31,-6.772396075748577E64 1,103,30,38,83,43.3,0.183,33,-1.0016013750360163E65 1,115,70,30,96,34.6,0.529,32,-1.1953388291025707E65 3,126,88,41,235,39.3,0.704,27,-1.9712048264406836E65
Alternatively, select  Feature values  for the  Prediction Source to predict a single data row by entering the value of each feature as shown below.
Click Predict. You view the predicted value at the bottom of the screen as shown below.