Container for the parameters to the DescribeMLModels operation. Returns a list of MLModel that match the search criteria in the request.
Inheritance: AmazonMachineLearningRequest
コード例 #1
0
        /// <summary>
        /// Initiates the asynchronous execution of the DescribeMLModels operation.
        /// </summary>
        /// 
        /// <param name="request">Container for the necessary parameters to execute the DescribeMLModels operation.</param>
        /// <param name="cancellationToken">
        ///     A cancellation token that can be used by other objects or threads to receive notice of cancellation.
        /// </param>
        /// <returns>The task object representing the asynchronous operation.</returns>
        public Task<DescribeMLModelsResponse> DescribeMLModelsAsync(DescribeMLModelsRequest request, System.Threading.CancellationToken cancellationToken = default(CancellationToken))
        {
            var marshaller = new DescribeMLModelsRequestMarshaller();
            var unmarshaller = DescribeMLModelsResponseUnmarshaller.Instance;

            return InvokeAsync<DescribeMLModelsRequest,DescribeMLModelsResponse>(request, marshaller, 
                unmarshaller, cancellationToken);
        }
コード例 #2
0
 /// <summary>
 /// Paginator for DescribeMLModels operation
 ///</summary>
 public IDescribeMLModelsPaginator DescribeMLModels(DescribeMLModelsRequest request)
 {
     return(new DescribeMLModelsPaginator(this.client, request));
 }
コード例 #3
0
        internal DescribeMLModelsResponse DescribeMLModels(DescribeMLModelsRequest request)
        {
            var marshaller = new DescribeMLModelsRequestMarshaller();
            var unmarshaller = DescribeMLModelsResponseUnmarshaller.Instance;

            return Invoke<DescribeMLModelsRequest,DescribeMLModelsResponse>(request, marshaller, unmarshaller);
        }
コード例 #4
0
        /// <summary>
        /// Initiates the asynchronous execution of the DescribeMLModels operation.
        /// </summary>
        /// 
        /// <param name="request">Container for the necessary parameters to execute the DescribeMLModels operation on AmazonMachineLearningClient.</param>
        /// <param name="callback">An AsyncCallback delegate that is invoked when the operation completes.</param>
        /// <param name="state">A user-defined state object that is passed to the callback procedure. Retrieve this object from within the callback
        ///          procedure using the AsyncState property.</param>
        /// 
        /// <returns>An IAsyncResult that can be used to poll or wait for results, or both; this value is also needed when invoking EndDescribeMLModels
        ///         operation.</returns>
        public IAsyncResult BeginDescribeMLModels(DescribeMLModelsRequest request, AsyncCallback callback, object state)
        {
            var marshaller = new DescribeMLModelsRequestMarshaller();
            var unmarshaller = DescribeMLModelsResponseUnmarshaller.Instance;

            return BeginInvoke<DescribeMLModelsRequest>(request, marshaller, unmarshaller,
                callback, state);
        }
コード例 #5
0
 internal DescribeMLModelsPaginator(IAmazonMachineLearning client, DescribeMLModelsRequest request)
 {
     this._client  = client;
     this._request = request;
 }
コード例 #6
0
 private Amazon.MachineLearning.Model.DescribeMLModelsResponse CallAWSServiceOperation(IAmazonMachineLearning client, Amazon.MachineLearning.Model.DescribeMLModelsRequest request)
 {
     Utils.Common.WriteVerboseEndpointMessage(this, client.Config, "Amazon Machine Learning", "DescribeMLModels");
     try
     {
         #if DESKTOP
         return(client.DescribeMLModels(request));
         #elif CORECLR
         return(client.DescribeMLModelsAsync(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;
     }
 }
コード例 #7
0
        public object Execute(ExecutorContext context)
        {
            var cmdletContext      = context as CmdletContext;
            var useParameterSelect = this.Select.StartsWith("^");

            // create request and set iteration invariants
            var request = new Amazon.MachineLearning.Model.DescribeMLModelsRequest();

            if (cmdletContext.EQ != null)
            {
                request.EQ = cmdletContext.EQ;
            }
            if (cmdletContext.FilterVariable != null)
            {
                request.FilterVariable = cmdletContext.FilterVariable;
            }
            if (cmdletContext.GE != null)
            {
                request.GE = cmdletContext.GE;
            }
            if (cmdletContext.GT != null)
            {
                request.GT = cmdletContext.GT;
            }
            if (cmdletContext.LE != null)
            {
                request.LE = cmdletContext.LE;
            }
            if (cmdletContext.LT != null)
            {
                request.LT = cmdletContext.LT;
            }
            if (cmdletContext.NE != null)
            {
                request.NE = cmdletContext.NE;
            }
            if (cmdletContext.Prefix != null)
            {
                request.Prefix = cmdletContext.Prefix;
            }
            if (cmdletContext.SortOrder != null)
            {
                request.SortOrder = cmdletContext.SortOrder;
            }

            // Initialize loop variants and commence piping
            System.String _nextToken      = null;
            int?          _emitLimit      = null;
            int           _retrievedSoFar = 0;

            if (AutoIterationHelpers.HasValue(cmdletContext.NextToken))
            {
                _nextToken = cmdletContext.NextToken;
            }
            if (cmdletContext.Limit.HasValue)
            {
                // The service has a maximum page size of 100. If the user has
                // asked for more items than page max, and there is no page size
                // configured, we rely on the service ignoring the set maximum
                // and giving us 100 items back. If a page size is set, that will
                // be used to configure the pagination.
                // We'll make further calls to satisfy the user's request.
                _emitLimit = cmdletContext.Limit;
            }
            var _userControllingPaging = this.NoAutoIteration.IsPresent || ParameterWasBound(nameof(this.NextToken));

            var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint);

            do
            {
                request.NextToken = _nextToken;
                if (_emitLimit.HasValue)
                {
                    int correctPageSize = Math.Min(100, _emitLimit.Value);
                    request.Limit = AutoIterationHelpers.ConvertEmitLimitToInt32(correctPageSize);
                }
                else if (!ParameterWasBound(nameof(this.Limit)))
                {
                    request.Limit = AutoIterationHelpers.ConvertEmitLimitToInt32(100);
                }

                CmdletOutput output;

                try
                {
                    var    response       = CallAWSServiceOperation(client, request);
                    object pipelineOutput = null;
                    if (!useParameterSelect)
                    {
                        pipelineOutput = cmdletContext.Select(response, this);
                    }
                    output = new CmdletOutput
                    {
                        PipelineOutput  = pipelineOutput,
                        ServiceResponse = response
                    };
                    int _receivedThisCall = response.Results.Count;

                    _nextToken       = response.NextToken;
                    _retrievedSoFar += _receivedThisCall;
                    if (_emitLimit.HasValue)
                    {
                        _emitLimit -= _receivedThisCall;
                    }
                }
                catch (Exception e)
                {
                    if (_retrievedSoFar == 0 || !_emitLimit.HasValue)
                    {
                        output = new CmdletOutput {
                            ErrorResponse = e
                        };
                    }
                    else
                    {
                        break;
                    }
                }

                ProcessOutput(output);
            } while (!_userControllingPaging && AutoIterationHelpers.HasValue(_nextToken) && (!_emitLimit.HasValue || _emitLimit.Value >= 1));


            if (useParameterSelect)
            {
                WriteObject(cmdletContext.Select(null, this));
            }


            return(null);
        }
コード例 #8
0
        public object Execute(ExecutorContext context)
        {
            var cmdletContext      = context as CmdletContext;
            var useParameterSelect = this.Select.StartsWith("^");

            // create request and set iteration invariants
            var request = new Amazon.MachineLearning.Model.DescribeMLModelsRequest();

            if (cmdletContext.EQ != null)
            {
                request.EQ = cmdletContext.EQ;
            }
            if (cmdletContext.FilterVariable != null)
            {
                request.FilterVariable = cmdletContext.FilterVariable;
            }
            if (cmdletContext.GE != null)
            {
                request.GE = cmdletContext.GE;
            }
            if (cmdletContext.GT != null)
            {
                request.GT = cmdletContext.GT;
            }
            if (cmdletContext.LE != null)
            {
                request.LE = cmdletContext.LE;
            }
            if (cmdletContext.Limit != null)
            {
                request.Limit = AutoIterationHelpers.ConvertEmitLimitToServiceTypeInt32(cmdletContext.Limit.Value);
            }
            if (cmdletContext.LT != null)
            {
                request.LT = cmdletContext.LT;
            }
            if (cmdletContext.NE != null)
            {
                request.NE = cmdletContext.NE;
            }
            if (cmdletContext.Prefix != null)
            {
                request.Prefix = cmdletContext.Prefix;
            }
            if (cmdletContext.SortOrder != null)
            {
                request.SortOrder = cmdletContext.SortOrder;
            }

            // Initialize loop variant and commence piping
            var _nextToken             = cmdletContext.NextToken;
            var _userControllingPaging = this.NoAutoIteration.IsPresent || ParameterWasBound(nameof(this.NextToken));

            var client = Client ?? CreateClient(_CurrentCredentials, _RegionEndpoint);

            do
            {
                request.NextToken = _nextToken;

                CmdletOutput output;

                try
                {
                    var response = CallAWSServiceOperation(client, request);

                    object pipelineOutput = null;
                    if (!useParameterSelect)
                    {
                        pipelineOutput = cmdletContext.Select(response, this);
                    }
                    output = new CmdletOutput
                    {
                        PipelineOutput  = pipelineOutput,
                        ServiceResponse = response
                    };

                    _nextToken = response.NextToken;
                }
                catch (Exception e)
                {
                    output = new CmdletOutput {
                        ErrorResponse = e
                    };
                }

                ProcessOutput(output);
            } while (!_userControllingPaging && AutoIterationHelpers.HasValue(_nextToken));

            if (useParameterSelect)
            {
                WriteObject(cmdletContext.Select(null, this));
            }


            return(null);
        }