Github user markap14 commented on a diff in the pull request:
https://github.com/apache/nifi/pull/2686#discussion_r187351084
--- Diff:
nifi-nar-bundles/nifi-deeplearning4j-bundle/nifi-deeplearning4j-processors/src/main/java/org/apache/nifi/processors/deeplearning4j/DeepLearning4JPredictor.java
---
@@ -0,0 +1,218 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.nifi.processors.deeplearning4j;
+import org.apache.nifi.annotation.behavior.EventDriven;
+import org.apache.nifi.annotation.behavior.InputRequirement;
+import org.apache.nifi.annotation.behavior.InputRequirement.Requirement;
+import org.apache.nifi.annotation.behavior.SupportsBatching;
+import org.apache.nifi.annotation.behavior.WritesAttribute;
+import org.apache.nifi.annotation.behavior.WritesAttributes;
+import org.apache.nifi.annotation.documentation.CapabilityDescription;
+import org.apache.nifi.annotation.documentation.Tags;
+import org.apache.nifi.components.PropertyDescriptor;
+import org.apache.nifi.flowfile.FlowFile;
+import org.apache.nifi.processor.ProcessContext;
+import org.apache.nifi.processor.ProcessSession;
+import org.apache.nifi.processor.Relationship;
+import org.apache.nifi.processor.exception.ProcessException;
+import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
+import org.nd4j.linalg.api.ndarray.INDArray;
+import org.nd4j.linalg.factory.Nd4j;
+import com.google.gson.Gson;
+import java.io.ByteArrayInputStream;
+import java.io.ByteArrayOutputStream;
+import java.io.IOException;
+import java.nio.charset.Charset;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Collections;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+import java.util.stream.Collectors;
+
+@EventDriven
+@SupportsBatching
+@InputRequirement(Requirement.INPUT_REQUIRED)
+@Tags({"deeplearning4j", "dl4j", "predict", "classification",
"regression", "deep", "learning"})
+@CapabilityDescription("The DeepLearning4JPredictor predicts one or more
value(s) based on provided deeplearning4j (https://github.com/deeplearning4j)
model and the content of a FlowFile. "
+ + "The processor supports both classification and regression by
extracting the record from the FlowFile body and applying the model. "
+ + "The processor supports batch by allowing multiple records to be
passed in the FlowFile body with each record separated by the 'Record
Separator' property. "
+ + "Each record can contain multiple fields with each field separated
by the 'Field Separator' property."
+ )
+@WritesAttributes({
+ @WritesAttribute(attribute =
AbstractDeepLearning4JProcessor.DEEPLEARNING4J_ERROR_MESSAGE, description =
"Deeplearning4J error message"),
+ @WritesAttribute(attribute =
AbstractDeepLearning4JProcessor.DEEPLEARNING4J_OUTPUT_SHAPE, description =
"Deeplearning4J output shape"),
+ })
+public class DeepLearning4JPredictor extends
AbstractDeepLearning4JProcessor {
--- End diff --
We try to avoid using nouns as processor names and instead use <Verb><Noun>
such as PredictClassification (though this allows for both classifications and
regressions so I don't know if there's a term for that?)
---
