1 write to InputColumnName
Microsoft.ML.Data (1)
Transforms\Normalizer.cs (1)
140InputColumnName = inputColumnName;
10 references to InputColumnName
Microsoft.ML.Data (10)
Transforms\NormalizeColumn.cs (3)
1077throw host.ExceptUserArg(nameof(column), "Wrong column type for column {0}. Expected: Single, Double, Vector of Single or Vector of Double. Got: {1}.", column.InputColumnName, srcType.ToString()); 1117throw host.ExceptParam(nameof(column), "Wrong column type for column {0}. Expected: Single, Double, Vector of Single or Vector of Double. Got: {1}.", column.InputColumnName, srcType.ToString()); 1178column.InputColumnName,
Transforms\Normalizer.cs (7)
351if (!inputSchema.TryFindColumn(colInfo.InputColumnName, out var col)) 352throw _host.ExceptSchemaMismatch(nameof(inputSchema), "input", colInfo.InputColumnName); 354throw _host.ExceptSchemaMismatch(nameof(inputSchema), "input", colInfo.InputColumnName, "known-size vector or scalar", col.GetTypeString()); 357throw _host.ExceptSchemaMismatch(nameof(inputSchema), "input", colInfo.InputColumnName, "vector or scalar of Single or Double", col.GetTypeString()); 544bool success = data.Schema.TryGetColumnIndex(info.InputColumnName, out srcCols[i]); 546throw env.ExceptSchemaMismatch(nameof(data), "input", info.InputColumnName); 605result[i] = new ColumnOptions(columns[i].Name, columns[i].InputColumnName, srcTypes[i], func);