public static void Main(string[] args)
{
var employeeSkillPath = System.IO.Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.Employee_skills_file);
var skillListPath = System.IO.Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.Skill_file);
var trainingResult = Training.TrainModel(employeeSkillPath, skillListPath);
var modelPath = Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.model_file);
Training.SaveModel(trainingResult.model, trainingResult.schema, modelPath);
var(currentSkills, recommendedSkills) = Prediction.GetRecommendedSkills(modelPath, employeeSkillPath, skillListPath, "E3574");
}
public Predictions Get(string employeeId)
{
if (string.IsNullOrEmpty(employeeId))
{
throw new ArgumentNullException($"Parameter employeeId cannot be empty.");
}
var returnValue = new Predictions();
var employeeSkillPath = System.IO.Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.Employee_skills_file);
var skillListPath = System.IO.Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.Skill_file);
var modelPath = System.IO.Path.Combine(Environment.CurrentDirectory, Constants.Data_directory, Constants.model_file);
var(currentSkills, recomendedSkills) = Prediction.GetRecommendedSkills(modelPath, employeeSkillPath, skillListPath, employeeId);
returnValue.CurrentSkills = currentSkills.AsEnumerable();
returnValue.RecommendedSkills = recomendedSkills;
return(returnValue);
}
