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https://issues.apache.org/jira/browse/FLINK-1807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14532751#comment-14532751
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ASF GitHub Bot commented on FLINK-1807:
---------------------------------------

Github user tillrohrmann commented on a diff in the pull request:

    https://github.com/apache/flink/pull/613#discussion_r29856893
  
    --- Diff: 
flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/optimization/PredictionFunction.scala
 ---
    @@ -0,0 +1,38 @@
    +/*
    + * 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.flink.ml.optimization
    +
    +import org.apache.flink.ml.common.WeightVector
    +import org.apache.flink.ml.math.{Vector => FlinkVector, BLAS}
    +
    +/** An abstract class for prediction functions to be used in optimization 
**/
    +abstract class PredictionFunction extends Serializable {
    +  def predict(features: FlinkVector, weights: WeightVector): Double
    +
    +  def gradient(features: FlinkVector, weights: WeightVector): FlinkVector
    +}
    +
    +/** A linear prediction function **/
    +class LinearPrediction extends PredictionFunction {
    +  override def predict(features: FlinkVector, weights: WeightVector): 
Double = {
    +    BLAS.dot(features, weights.weights) + weights.intercept
    --- End diff --
    
    Shall we call the weights parameter differently? Now we have 
`weights.weights` which looks not so nice. Maybe `weightVector.weights`? 


> Stochastic gradient descent optimizer for ML library
> ----------------------------------------------------
>
>                 Key: FLINK-1807
>                 URL: https://issues.apache.org/jira/browse/FLINK-1807
>             Project: Flink
>          Issue Type: Improvement
>          Components: Machine Learning Library
>            Reporter: Till Rohrmann
>            Assignee: Theodore Vasiloudis
>              Labels: ML
>
> Stochastic gradient descent (SGD) is a widely used optimization technique in 
> different ML algorithms. Thus, it would be helpful to provide a generalized 
> SGD implementation which can be instantiated with the respective gradient 
> computation. Such a building block would make the development of future 
> algorithms easier.



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