Esempi in C# (CSharp) per DAL.DiabetesDataSetTableAdapters.NewDataSetTempTableAdapter

Esempio n. 1

File: NaiveBayesSModel.cs Progetto: hpbaotho/benhvien

        public override int[] ComputeModel(double[][] inputs)
        {

            int[] predicted = new int[inputs.Length];
            DiabetesDido.DAL.DiabetesDataSetTableAdapters.NewDataSetTempTableAdapter newDataSetTempTA = new DAL.DiabetesDataSetTableAdapters.NewDataSetTempTableAdapter();
            var query = newDataSetTempTA.GetData().AsEnumerable().Skip(newDataSetTempTA.GetData().Rows.Count - inputs.Length);
            DataTable testData = query.CopyToDataTable<DataRow>();

            DataTable predictData = NaiveBayes(testData);
            for (int i = 0; i < predictData.Rows.Count - 1; i++)
            {
                String expectValue = testData.Rows[i][TableMetaData.ClassAttribute].ToString();
                String predictValue = predictData.Rows[i][TableMetaData.ClassAttribute].ToString();
                if (predictValue == TableMetaData.PositiveString)
                    predicted[i] = possiveValue;
                else
                    predicted[i] = negativeValue;
            }
            return predicted;
        }

Esempio n. 2

        public override int[] ComputeModel(double[][] inputs)
        {
            int[] predicted = new int[inputs.Length];
            DiabetesDido.DAL.DiabetesDataSetTableAdapters.NewDataSetTempTableAdapter newDataSetTempTA = new DAL.DiabetesDataSetTableAdapters.NewDataSetTempTableAdapter();
            var       query    = newDataSetTempTA.GetData().AsEnumerable().Skip(newDataSetTempTA.GetData().Rows.Count - inputs.Length);
            DataTable testData = query.CopyToDataTable <DataRow>();

            DataTable predictData = NaiveBayes(testData);

            for (int i = 0; i < predictData.Rows.Count - 1; i++)
            {
                String expectValue  = testData.Rows[i][TableMetaData.ClassAttribute].ToString();
                String predictValue = predictData.Rows[i][TableMetaData.ClassAttribute].ToString();
                if (predictValue == TableMetaData.PositiveString)
                {
                    predicted[i] = possiveValue;
                }
                else
                {
                    predicted[i] = negativeValue;
                }
            }
            return(predicted);
        }