/// <summary>
/// 初始化文件目录
/// </summary>
private void initFile()
{
//TODO
//解析文字数据---保存在里textParser里面的List中
textParser = new TextParser(prjPath + "\\text");
//解析矢量数据----保存在VectorParser里面的List中
vectorParser = new VectorParser(prjPath + "\\vector");
}
public void HandleInputEntered(string input)
{
Vector3 vector;
if (VectorParser.TryParse(input, out vector))
{
AddNewVector(vector);
}
else
{
Debug.Log("Couldn't parse input: " + input);
}
}
public virtual double[] readInput()
{
try
{
string inputLine = bufferedReader.readLine();
if (inputLine != null)
{
double[] inputBuffer = VectorParser.parseDoubleArray(inputLine);
return(inputBuffer);
}
return(null);
}
catch (IOException ex)
{
throw new NeurophInputException("Error reading input from stream!", ex);
}
}
public void Tests()
{
var shouldSucceed = new Dictionary <string, Vector3>
{
{ "1, 2, 3", new Vector3(1f, 2f, 3f) },
{ "0.1, 0.23; -12", new Vector3(0.1f, 0.23f, -12f) },
{ "1.2; 99 98.34", new Vector3(1.2f, 99.0f, 98.34f) },
{ "-0.1, 0, 0", new Vector3(-0.1f, 0f, 0f) },
{ "1.1 2.2 3.3", new Vector3(1.1f, 2.2f, 3.3f) },
{ "1.2, 3, 4.5 ", new Vector3(1.2f, 3.0f, 4.5f) }
};
var shouldFail = new List <string>
{
"junk",
"123451",
"12.232",
"",
"1",
"1.0, 2.24",
".12 .123 .123"
};
Vector3 vec;
foreach (var kvPair in shouldSucceed)
{
var success = VectorParser.TryParse(kvPair.Key, out vec);
Assert.IsTrue(success && vec == kvPair.Value, kvPair.Key);
}
foreach (var str in shouldFail)
{
var success = VectorParser.TryParse(str, out vec);
if (success)
{
Debug.LogWarningFormat("{0}", vec);
}
Assert.IsFalse(success, str);
}
}
public DataSetRow(List <double> input)
{
this.input = VectorParser.toDoubleArray(input);
}
/// <summary>
/// Creates new training element with specified input and desired output
/// vectors
/// </summary>
/// <param name="input">
/// input vector </param>
/// <param name="desiredOutput">
/// desired output vector </param>
public DataSetRow(List <double> input, List <double> desiredOutput)
{
this.input = VectorParser.toDoubleArray(input);
this.desiredOutput = VectorParser.toDoubleArray(desiredOutput);
}
/// <summary>
/// Creates new training element with specified input and desired output
/// vectors specifed as strings
/// </summary>
/// <param name="input"> input vector as space separated string </param>
/// <param name="desiredOutput"> desired output vector as space separated string </param>
public DataSetRow(string input, string desiredOutput)
{
this.input = VectorParser.parseDoubleArray(input);
this.desiredOutput = VectorParser.parseDoubleArray(desiredOutput);
}
