/// <summary>
/// Train a new classifier.
/// </summary>
/// <param name="successCallback">The success callback.</param>
/// <param name="failCallback">The fail callback.</param>
/// <param name="classifierName">A name to give the classifier.</param>
/// <param name="language">Language of the classifier.</param>
/// <param name="trainingData">CSV training data.</param>
/// <returns>Returns true if training data was submitted correctly.</returns>
public bool TrainClassifier(SuccessCallback <Classifier> successCallback, FailCallback failCallback, string classifierName, string language, string trainingData, Dictionary <string, object> customData = null)
{
if (successCallback == null)
{
throw new ArgumentNullException("successCallback");
}
if (failCallback == null)
{
throw new ArgumentNullException("failCallback");
}
if (string.IsNullOrEmpty(classifierName))
{
throw new ArgumentNullException("classifierId");
}
if (string.IsNullOrEmpty(language))
{
throw new ArgumentNullException("language");
}
if (string.IsNullOrEmpty(trainingData))
{
throw new ArgumentNullException("trainingData");
}
RESTConnector connector = RESTConnector.GetConnector(Credentials, "/v1/classifiers");
if (connector == null)
{
return(false);
}
Dictionary <string, object> trainingMetaData = new Dictionary <string, object>();
trainingMetaData["language"] = language;
trainingMetaData["name"] = classifierName;
TrainClassifierReq req = new TrainClassifierReq();
req.SuccessCallback = successCallback;
req.FailCallback = failCallback;
req.HttpMethod = UnityWebRequest.kHttpVerbPOST;
req.DisableSslVerification = DisableSslVerification;
req.CustomData = customData == null ? new Dictionary <string, object>() : customData;
if (req.CustomData.ContainsKey(Constants.String.CUSTOM_REQUEST_HEADERS))
{
foreach (KeyValuePair <string, string> kvp in req.CustomData[Constants.String.CUSTOM_REQUEST_HEADERS] as Dictionary <string, string> )
{
req.Headers.Add(kvp.Key, kvp.Value);
}
}
req.OnResponse = OnTrainClassifierResp;
req.Headers["X-IBMCloud-SDK-Analytics"] = "service_name=natural_language_classifier;service_version=v1;operation_id=TrainClassifier";
req.Forms = new Dictionary <string, RESTConnector.Form>();
req.Forms["training_metadata"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(Json.Serialize(trainingMetaData)));
req.Forms["training_data"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(trainingData));
return(connector.Send(req));
}
private bool UploadClassifier(string classifierName, string className, byte[] positiveExamplesData, byte[] negativeExamplesData, OnTrainClassifier callback)
{
if (string.IsNullOrEmpty(mp_ApiKey))
{
mp_ApiKey = Config.Instance.GetAPIKey(SERVICE_ID);
}
if (string.IsNullOrEmpty(mp_ApiKey))
{
throw new WatsonException("GetClassifier - VISUAL_RECOGNITION_API_KEY needs to be defined in config.json");
}
if (string.IsNullOrEmpty(classifierName))
{
throw new ArgumentNullException("ClassifierName");
}
if (positiveExamplesData == null)
{
throw new ArgumentNullException("positiveExamplesData");
}
if (negativeExamplesData == null)
{
throw new ArgumentNullException("negativeExamplesData");
}
if (callback == null)
{
throw new ArgumentNullException("callback");
}
RESTConnector connector = RESTConnector.GetConnector(SERVICE_ID, SERVICE_CLASSIFIERS);
if (connector == null)
{
return(false);
}
TrainClassifierReq req = new TrainClassifierReq();
req.Callback = callback;
req.OnResponse = OnTrainClassifierResp;
req.Timeout = REQUEST_TIMEOUT;
req.Parameters["api_key"] = mp_ApiKey;
req.Parameters["version"] = VisualRecognitionVersion.Version;
req.Forms = new Dictionary <string, RESTConnector.Form>();
req.Forms["name"] = new RESTConnector.Form(classifierName);
req.Forms[className + "_positive_examples"] = new RESTConnector.Form(positiveExamplesData, className + "_positive_examples.zip", "application/zip");
req.Forms["negative_examples"] = new RESTConnector.Form(negativeExamplesData, "negative_examples.zip", "application/zip");
return(connector.Send(req));
}
/// <summary>
/// Train a new classifier.
/// </summary>
/// <param name="successCallback">The success callback.</param>
/// <param name="failCallback">The fail callback.</param>
/// <param name="classifierName">A name to give the classifier.</param>
/// <param name="language">Language of the classifier.</param>
/// <param name="trainingData">CSV training data.</param>
/// <returns>Returns true if training data was submitted correctly.</returns>
public bool TrainClassifier(SuccessCallback <Classifier> successCallback, FailCallback failCallback, string classifierName, string language, string trainingData, Dictionary <string, object> customData = null)
{
if (successCallback == null)
{
throw new ArgumentNullException("successCallback");
}
if (failCallback == null)
{
throw new ArgumentNullException("failCallback");
}
if (string.IsNullOrEmpty(classifierName))
{
throw new ArgumentNullException("classifierId");
}
if (string.IsNullOrEmpty(language))
{
throw new ArgumentNullException("language");
}
if (string.IsNullOrEmpty(trainingData))
{
throw new ArgumentNullException("trainingData");
}
RESTConnector connector = RESTConnector.GetConnector(Credentials, "/v1/classifiers");
if (connector == null)
{
return(false);
}
Dictionary <string, object> trainingMetaData = new Dictionary <string, object>();
trainingMetaData["language"] = language;
trainingMetaData["name"] = classifierName;
TrainClassifierReq req = new TrainClassifierReq();
req.SuccessCallback = successCallback;
req.FailCallback = failCallback;
req.CustomData = customData == null ? new Dictionary <string, object>() : customData;
req.OnResponse = OnTrainClassifierResp;
req.Forms = new Dictionary <string, RESTConnector.Form>();
req.Forms["training_metadata"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(Json.Serialize(trainingMetaData)));
req.Forms["training_data"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(trainingData));
return(connector.Send(req));
}
/// <summary>
/// Train a new classifier.
/// </summary>
/// <param name="classifierName">A name to give the classifier.</param>
/// <param name="language">Language of the classifier.</param>
/// <param name="trainingData">CSV training data.</param>
/// <param name="callback">Callback to invoke with the results.</param>
/// <returns>Returns true if training data was submitted correctly.</returns>
public bool TrainClassifier(string classifierName, string language, string trainingData, OnTrainClassifier callback)
{
if (string.IsNullOrEmpty(classifierName))
{
throw new ArgumentNullException("classifierId");
}
if (string.IsNullOrEmpty(language))
{
throw new ArgumentNullException("language");
}
if (string.IsNullOrEmpty(trainingData))
{
throw new ArgumentNullException("trainingData");
}
if (callback == null)
{
throw new ArgumentNullException("callback");
}
RESTConnector connector = RESTConnector.GetConnector(SERVICE_ID, "/v1/classifiers");
if (connector == null)
{
return(false);
}
Dictionary <string, object> trainingMetaData = new Dictionary <string, object>();
trainingMetaData["language"] = language;
trainingMetaData["name"] = classifierName;
TrainClassifierReq req = new TrainClassifierReq();
req.Callback = callback;
req.OnResponse = OnTrainClassifierResp;
req.Forms = new Dictionary <string, RESTConnector.Form>();
req.Forms["training_metadata"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(Json.Serialize(trainingMetaData)));
req.Forms["training_data"] = new RESTConnector.Form(Encoding.UTF8.GetBytes(trainingData));
return(connector.Send(req));
}
