/// <summary>
/// Implements the Dispose pattern
/// </summary>
/// <param name="disposing">Whether this object is being disposed via a call to Dispose
/// or garbage collected.</param>
protected virtual void Dispose(bool disposing)
{
if (!isDisposed)
{
if (disposing && client != null && shouldDispose)
{
client.Dispose();
client = null;
}
isDisposed = true;
}
}
/// <summary>
/// Implements the Dispose pattern
/// </summary>
/// <param name="disposing">Whether this object is being disposed via a call to Dispose
/// or garbage collected.</param>
protected virtual void Dispose(bool disposing)
{
if (!isDisposed)
{
if (disposing && client != null && shouldDispose)
{
client.Dispose();
client = null;
}
isDisposed = true;
}
}
private Amazon.MachineLearning.Model.AddTagsResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.AddTagsRequest request)
{
Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "AddTags");
try
{
#if DESKTOP
return(client.AddTags(request));
#elif CORECLR
return(client.AddTagsAsync(request).GetAwaiter().GetResult());
#else
#error "Unknown build edition"
#endif
}
catch (AmazonServiceException exc)
{
var webException = exc.InnerException as System.Net.WebException;
if (webException != null)
{
throw new Exception(Utils.Common.FormatNameResolutionFailureMessage(client.Config, webException.Message), webException);
}
throw;
}
}
internal DescribeDataSourcesPaginator(IAmazonMachineLearning client, DescribeDataSourcesRequest request)
{
this._client = client;
this._request = request;
}
/// <summary>
/// Constructs a RealtimePredictor which will use the passed in client to make requests.
/// </summary>
/// <param name="client">The MachineLearning client that will be used to make requests.</param>
/// <param name="modelId">The MachineLearning model to predict against.</param>
/// <param name="endpoint">The endpoint to send requests to.</param>
public RealtimePredictor(IAmazonMachineLearning client, string modelId, string endpoint)
{
this.client = client;
this.ModelId = modelId;
this.endpoint = endpoint;
}
/// <summary>
/// Constructs a RealtimePredictor which will use the passed in client to make requests.
/// </summary>
/// <remarks>
/// The endpoint URL will be determined my making a service call to retrieve it.
/// </remarks>
/// <param name="client">The MachineLearning client that will be used to make requests.</param>
/// <param name="modelId">The MachineLearning model to predict against.</param>
public RealtimePredictor(IAmazonMachineLearning client, string modelId)
{
this.client = client;
this.ModelId = modelId;
}
internal MachineLearningPaginatorFactory(IAmazonMachineLearning client)
{
this.client = client;
}
internal DescribeMLModelsPaginator(IAmazonMachineLearning client, DescribeMLModelsRequest request)
{
this._client = client;
this._request = request;
}
internal DescribeEvaluationsPaginator(IAmazonMachineLearning client, DescribeEvaluationsRequest request)
{
this._client = client;
this._request = request;
}
/// <summary>
/// Constructs a RealtimePredictor which will use the passed in client to make requests.
/// </summary>
/// <param name="client">The MachineLearning client that will be used to make requests.</param>
/// <param name="modelId">The MachineLearning model to predict against.</param>
/// <param name="endpoint">The endpoint to send requests to.</param>
public RealtimePredictor(IAmazonMachineLearning client, string modelId, string endpoint)
{
this.client = client;
this.ModelId = modelId;
this.endpoint = endpoint;
}
/// <summary>
/// Constructs a RealtimePredictor which will use the passed in client to make requests.
/// </summary>
/// <remarks>
/// The endpoint URL will be determined my making a service call to retrieve it.
/// </remarks>
/// <param name="client">The MachineLearning client that will be used to make requests.</param>
/// <param name="modelId">The MachineLearning model to predict against.</param>
public RealtimePredictor(IAmazonMachineLearning client, string modelId)
{
this.client = client;
this.ModelId = modelId;
}
protected override void ProcessRecord()
{
base.ProcessRecord();
Client = CreateClient(_CurrentCredentials, _RegionEndpoint);
}
