spark-reviews mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From mengxr <...@git.apache.org>
Subject [GitHub] spark pull request: Streaming mllib [SPARK-2438][MLLIB]
Date Thu, 31 Jul 2014 08:21:57 GMT
Github user mengxr commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1361#discussion_r15630602
  
    --- Diff: mllib/src/main/scala/org/apache/spark/mllib/regression/StreamingRegression.scala
---
    @@ -0,0 +1,83 @@
    +/*
    + * 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.regression
    +
    +import org.apache.spark.Logging
    +import org.apache.spark.annotation.{Experimental, DeveloperApi}
    +import org.apache.spark.streaming.dstream.DStream
    +
    +/**
    + * :: DeveloperApi ::
    + * StreamingRegression implements methods for training
    + * a linear regression model on streaming data, and using it
    + * for prediction on streaming data.
    + *
    + * This class takes as type parameters a GeneralizedLinearModel,
    + * and a GeneralizedLinearAlgorithm, making it easy to extend to construct
    + * streaming versions of arbitrary regression analyses. For example usage,
    + * see StreamingLinearRegressionWithSGD.
    + *
    + */
    +@DeveloperApi
    +@Experimental
    +abstract class StreamingRegression[
    +    M <: GeneralizedLinearModel,
    +    A <: GeneralizedLinearAlgorithm[M]] extends Logging {
    +
    +  /** The model to be updated and used for prediction. */
    +  var model: M
    +
    +  /** The algorithm to use for updating. */
    +  val algorithm: A
    +
    +  /** Return the latest model. */
    +  def latest(): M = {
    +    model
    +  }
    +
    +  /**
    +   * Update the model by training on batches of data from a DStream.
    +   * This operation registers a DStream for training the model,
    +   * and updates the model based on every subsequent non-empty
    +   * batch of data from the stream.
    +   *
    +   * @param data DStream containing labeled data
    +   */
    +  def trainOn(data: DStream[LabeledPoint]) {
    +    data.foreachRDD{
    +      rdd =>
    +        if (rdd.count() > 0) {
    --- End diff --
    
    That sounds good! Do you mind including that change in this PR?


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastructure@apache.org or file a JIRA ticket
with INFRA.
---

Mime
View raw message