initial

2 files changed, 106 insertions, 0 deletions

diff --git a/vendor/aws/aws-sdk-php/src/MachineLearning/Exception/MachineLearningException.php b/vendor/aws/aws-sdk-php/src/MachineLearning/Exception/MachineLearningException.php
new file mode 100644
index 0000000..6421ca8
--- /dev/null
+++ b/vendor/aws/aws-sdk-php/src/MachineLearning/Exception/MachineLearningException.php
@@ -0,0 +1,9 @@
+<?php
+namespace Aws\MachineLearning\Exception;
+
+use Aws\Exception\AwsException;
+
+/**
+ * Amazon Machine Learning exception.
+ */
+class MachineLearningException extends AwsException {}
diff --git a/vendor/aws/aws-sdk-php/src/MachineLearning/MachineLearningClient.php b/vendor/aws/aws-sdk-php/src/MachineLearning/MachineLearningClient.php
new file mode 100644
index 0000000..72e5ae6
--- /dev/null
+++ b/vendor/aws/aws-sdk-php/src/MachineLearning/MachineLearningClient.php
@@ -0,0 +1,97 @@
+<?php
+namespace Aws\MachineLearning;
+
+use Aws\AwsClient;
+use Aws\CommandInterface;
+use GuzzleHttp\Psr7\Uri;
+use Psr\Http\Message\RequestInterface;
+
+/**
+ * Amazon Machine Learning client.
+ *
+ * @method \Aws\Result addTags(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise addTagsAsync(array $args = [])
+ * @method \Aws\Result createBatchPrediction(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createBatchPredictionAsync(array $args = [])
+ * @method \Aws\Result createDataSourceFromRDS(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createDataSourceFromRDSAsync(array $args = [])
+ * @method \Aws\Result createDataSourceFromRedshift(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createDataSourceFromRedshiftAsync(array $args = [])
+ * @method \Aws\Result createDataSourceFromS3(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createDataSourceFromS3Async(array $args = [])
+ * @method \Aws\Result createEvaluation(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createEvaluationAsync(array $args = [])
+ * @method \Aws\Result createMLModel(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createMLModelAsync(array $args = [])
+ * @method \Aws\Result createRealtimeEndpoint(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise createRealtimeEndpointAsync(array $args = [])
+ * @method \Aws\Result deleteBatchPrediction(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteBatchPredictionAsync(array $args = [])
+ * @method \Aws\Result deleteDataSource(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteDataSourceAsync(array $args = [])
+ * @method \Aws\Result deleteEvaluation(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteEvaluationAsync(array $args = [])
+ * @method \Aws\Result deleteMLModel(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteMLModelAsync(array $args = [])
+ * @method \Aws\Result deleteRealtimeEndpoint(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteRealtimeEndpointAsync(array $args = [])
+ * @method \Aws\Result deleteTags(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise deleteTagsAsync(array $args = [])
+ * @method \Aws\Result describeBatchPredictions(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise describeBatchPredictionsAsync(array $args = [])
+ * @method \Aws\Result describeDataSources(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise describeDataSourcesAsync(array $args = [])
+ * @method \Aws\Result describeEvaluations(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise describeEvaluationsAsync(array $args = [])
+ * @method \Aws\Result describeMLModels(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise describeMLModelsAsync(array $args = [])
+ * @method \Aws\Result describeTags(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise describeTagsAsync(array $args = [])
+ * @method \Aws\Result getBatchPrediction(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise getBatchPredictionAsync(array $args = [])
+ * @method \Aws\Result getDataSource(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise getDataSourceAsync(array $args = [])
+ * @method \Aws\Result getEvaluation(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise getEvaluationAsync(array $args = [])
+ * @method \Aws\Result getMLModel(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise getMLModelAsync(array $args = [])
+ * @method \Aws\Result predict(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise predictAsync(array $args = [])
+ * @method \Aws\Result updateBatchPrediction(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise updateBatchPredictionAsync(array $args = [])
+ * @method \Aws\Result updateDataSource(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise updateDataSourceAsync(array $args = [])
+ * @method \Aws\Result updateEvaluation(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise updateEvaluationAsync(array $args = [])
+ * @method \Aws\Result updateMLModel(array $args = [])
+ * @method \GuzzleHttp\Promise\Promise updateMLModelAsync(array $args = [])
+ */
+class MachineLearningClient extends AwsClient
+{
+    public function __construct(array $config)
+    {
+        parent::__construct($config);
+        $list = $this->getHandlerList();
+        $list->appendBuild($this->predictEndpoint(), 'ml.predict_endpoint');
+    }
+
+    /**
+     * Changes the endpoint of the Predict operation to the provided endpoint.
+     *
+     * @return callable
+     */
+    private function predictEndpoint()
+    {
+        return static function (callable $handler) {
+            return function (
+                CommandInterface $command,
+                RequestInterface $request = null
+            ) use ($handler) {
+                if ($command->getName() === 'Predict') {
+                    $request = $request->withUri(new Uri($command['PredictEndpoint']));
+                }
+                return $handler($command, $request);
+            };
+        };
+    }
+}