public void Learn(IEnumerable <Expense> expenses)
{
this.classifier = new MultiClassClassifier <ExpenseSample, string>();
var multiClassOptions = new MultiClassOptions <ExpenseSample>()
.WithLabel(i => i.Category)
.WithFeatures(i => i.Amount, i => i.CreatedHour, i => i.ExpenseDayOfWeek);
var ffOptions = new FastForestOvaOptions()
.WithNumberOfTrees(50)
.WithLeaves(50)
.WithExampleCountPerLeaf(1);
this.classifier.TrainFastForestOva(expenses.Select(ExpenseSample.FromExpense), multiClassOptions, ffOptions);
}
static void Main(string[] args)
{
var ml = new MLContext();
var tsvData = ml.Data.LoadFromTextFile <ExpenseInput>(@"C:\Users\Hans\Desktop\Thomas.tsv", hasHeader: true);
var rawData = ml.Data.CreateEnumerable <ExpenseInput>(tsvData, true);
var data = rawData.Select(SampleInput.FromExpense);
var multi = new MultiClassClassifier <SampleInput, string>();
var multiClassOptions = new MultiClassOptions <SampleInput>()
.WithLabel(i => i.Category)
.WithFeatures(i => i.Amount, i => i.CreatedHour, i => i.ExpenseDayOfWeek);
var ffOptions = new FastForestOvaOptions()
.WithNumberOfTrees(50)
.WithLeaves(50)
.WithExampleCountPerLeaf(1);
multi.TrainFastForestOva(data, multiClassOptions, ffOptions);
multi.DumpEvaluation(data);
multi.DumpFeatureImportance(data);
//multi.SaveModel(@"C:\\Users\\Hans\\Desktop\\Thomas.model.zip");
while (true)
{
Console.Write("Hour: ");
var hour = int.Parse(Console.ReadLine());
Console.Write("Day: ");
var day = int.Parse(Console.ReadLine());
Console.Write("Amount: ");
var amount = float.Parse(Console.ReadLine());
var input = new SampleInput {
Amount = amount, CreatedHour = hour, ExpenseDayOfWeek = day
};
var result = multi.Predict(input);
Console.WriteLine(result);
Console.WriteLine("----\n\n");
}
}
