/// <summary>
/// Add new data to a trained model.
/// Documentation https://developers.google.com/prediction/v1.5/reference/trainedmodels/update
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="id">The unique name for the predictive model.</param>
/// <param name="body">A valid prediction v1.5 body.</param>
/// <returns>TrainingResponse</returns>
public static Training Update(predictionService service, string id, Update body)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
if (id == null)
{
throw new ArgumentNullException(id);
}
// Make the request.
return(service.Trainedmodels.Update(body, id).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Trainedmodels.Update failed.", ex);
}
}
/// <summary>
/// Submit input and request an output against a hosted model.
/// Documentation https://developers.google.com/prediction/v1.4/reference/hostedmodels/predict
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="hostedModelName">The name of a hosted model.</param>
/// <param name="body">A valid prediction v1.4 body.</param>
/// <returns>OutputResponse</returns>
public static Output Predict(predictionService service, string hostedModelName, Input body)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
if (hostedModelName == null)
{
throw new ArgumentNullException(hostedModelName);
}
// Make the request.
return(service.Hostedmodels.Predict(body, hostedModelName).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Hostedmodels.Predict failed.", ex);
}
}
/// <summary>
/// Delete a trained model.
/// Documentation https://developers.google.com/prediction/v1.6/reference/trainedmodels/delete
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="project">The project associated with the model.</param>
/// <param name="id">The unique name for the predictive model.</param>
public static void Delete(predictionService service, string project, string id)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (project == null)
{
throw new ArgumentNullException(project);
}
if (id == null)
{
throw new ArgumentNullException(id);
}
// Make the request.
return(service.Trainedmodels.Delete(project, id).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Trainedmodels.Delete failed.", ex);
}
}
/// <summary>
/// Submit model id and request a prediction.
/// Documentation https://developers.google.com/prediction/v1.6/reference/trainedmodels/predict
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="project">The project associated with the model.</param>
/// <param name="id">The unique name for the predictive model.</param>
/// <param name="body">A valid prediction v1.6 body.</param>
/// <returns>OutputResponse</returns>
public static Output Predict(predictionService service, string project, string id, Input body)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
if (project == null)
{
throw new ArgumentNullException(project);
}
if (id == null)
{
throw new ArgumentNullException(id);
}
// Make the request.
return(service.Trainedmodels.Predict(body, project, id).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Trainedmodels.Predict failed.", ex);
}
}
/// <summary>
/// List available models.
/// Documentation https://developers.google.com/prediction/v1.6/reference/trainedmodels/list
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="project">The project associated with the model.</param>
/// <param name="optional">Optional paramaters.</param> /// <returns>ListResponse</returns>
public static List List(predictionService service, string project, TrainedmodelsListOptionalParms optional = null)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (project == null)
{
throw new ArgumentNullException(project);
}
// Building the initial request.
var request = service.Trainedmodels.List(project);
// Applying optional parameters to the request.
request = (TrainedmodelsResource.ListRequest)SampleHelpers.ApplyOptionalParms(request, optional);
// Requesting data.
return(request.Execute());
}
catch (Exception ex)
{
throw new Exception("Request Trainedmodels.List failed.", ex);
}
}
/// <summary>
/// Begin training your model
/// Documentation https://developers.google.com/prediction/v1.2/reference/training/insert
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="body">A valid prediction v1.2 body.</param>
/// <param name="optional">Optional paramaters.</param> /// <returns>TrainingResponse</returns>
public static Training Insert(predictionService service, Training body, TrainingInsertOptionalParms optional = null)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
// Building the initial request.
var request = service.Training.Insert(body);
// Applying optional parameters to the request.
request = (TrainingResource.InsertRequest)SampleHelpers.ApplyOptionalParms(request, optional);
// Requesting data.
return(request.Execute());
}
catch (Exception ex)
{
throw new Exception("Request Training.Insert failed.", ex);
}
}
/// <summary>
/// Submit data and request a prediction
/// Documentation https://developers.google.com/prediction/v1.3/reference/training/predict
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="data">mybucket/mydata resource in Google Storage</param>
/// <param name="body">A valid prediction v1.3 body.</param>
/// <returns>OutputResponse</returns>
public static Output Predict(predictionService service, string data, Input body)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
if (data == null)
{
throw new ArgumentNullException(data);
}
// Make the request.
return(service.Training.Predict(body, data).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Training.Predict failed.", ex);
}
}
/// <summary>
/// Begin training your model.
/// Documentation https://developers.google.com/prediction/v1.5/reference/trainedmodels/insert
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="body">A valid prediction v1.5 body.</param>
/// <returns>TrainingResponse</returns>
public static Training Insert(predictionService service, Training body)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (body == null)
{
throw new ArgumentNullException("body");
}
// Make the request.
return(service.Trainedmodels.Insert(body).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Trainedmodels.Insert failed.", ex);
}
}
/// <summary>
/// Delete a trained model
/// Documentation https://developers.google.com/prediction/v1.2/reference/training/delete
/// Generation Note: This does not always build corectly. Google needs to standardise things I need to figuer out which ones are wrong.
/// </summary>
/// <param name="service">Authenticated prediction service.</param>
/// <param name="data">mybucket/mydata resource in Google Storage</param>
public static void Delete(predictionService service, string data)
{
try
{
// Initial validation.
if (service == null)
{
throw new ArgumentNullException("service");
}
if (data == null)
{
throw new ArgumentNullException(data);
}
// Make the request.
return(service.Training.Delete(data).Execute());
}
catch (Exception ex)
{
throw new Exception("Request Training.Delete failed.", ex);
}
}
