Github user hhbyyh commented on a diff in the pull request:
https://github.com/apache/spark/pull/7621#discussion_r35732255
--- Diff: mllib/src/main/scala/org/apache/spark/mllib/ann/Layer.scala ---
@@ -0,0 +1,857 @@
+/*
+ * 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.spark.mllib.ann
+
+import breeze.linalg.{*, DenseMatrix => BDM, DenseVector => BDV, Vector =>
BV, axpy => brzAxpy,
+sum => Bsum}
+import breeze.numerics.{log => Blog, sigmoid => Bsigmoid}
+import org.apache.spark.mllib.linalg.{Vector, Vectors}
+import org.apache.spark.mllib.optimization._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.util.random.XORShiftRandom
+
+/**
+ * Trait that holds Layer properties, that are needed to instantiate it.
+ * Implements Layer instantiation.
+ *
+ */
+private[ann] trait Layer extends Serializable {
+ /**
+ * Returns the instance of the layer based on weights provided
+ * @param weights vector with layer weights
+ * @param position position of weights in the vector
+ * @return the layer model
+ */
+ def getInstance(weights: Vector, position: Int): LayerModel
+
+ /**
+ * Returns the instance of the layer with random generated weights
+ * @param seed seed
+ * @return the layer model
+ */
+ def getInstance(seed: Long): LayerModel
+}
+
+/**
+ * Trait that holds Layer weights (or parameters).
+ * Implements functions needed for forward propagation, computing delta
and gradient.
+ * Can return weights in Vector format.
+ */
+private[ann] trait LayerModel extends Serializable {
+ /**
+ * number of weights
+ */
+ val size: Int
+
+ /**
+ * Evaluates the data (process the data through the layer)
+ * @param data data
+ * @return processed data
+ */
+ def eval(data: BDM[Double]): BDM[Double]
+
+ /**
+ * Computes the delta for back propagation
+ * @param nextDelta delta of the next layer
+ * @param input input data
+ * @return delta
+ */
+ def prevDelta(nextDelta: BDM[Double], input: BDM[Double]): BDM[Double]
+
--- End diff --
the number of feature maps in the next layer
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