Examples of sample()

@return a random value. @since 2.2
  • org.apache.commons.math3.distribution.RealDistribution.sample()
    Generate a random value sampled from this distribution. @return a random value.
  • org.apache.commons.math3.distribution.UniformIntegerDistribution.sample()
    {@inheritDoc}
  • org.apache.commons.math3.distribution.UniformRealDistribution.sample()
    {@inheritDoc}
  • org.apache.commons.math3.distribution.WeibullDistribution.sample()
    esus.ox.ac.uk/~clifford/a5/chap1/node5.html"> Inversion Method to generate exponentially distributed random values from uniform deviates.

    @return a random value. @since 2.2
  • org.apache.jmeter.protocol.http.sampler.HTTPSampler.sample()
  • org.apache.jmeter.protocol.http.sampler.HTTPSamplerBase.sample()
    Do a sampling and return its results. @param e Entry to be sampled @return results of the sampling
  • org.apache.jmeter.samplers.Sampler.sample()
    Obtains statistics about the given Entry, and packages the information into a SampleResult. @param e !ToDo (Parameter description) @return !ToDo (Return description)
  • org.apache.mahout.clustering.dirichlet.models.NormalModel.sample()
    TODO: Return a proper sample from the posterior. For now, return an instance with the same parameters @return an NormalModel
  • org.apache.mahout.clustering.lda.LDASampler.sample()
    @param topicDistribution vector of p(topicId) for all topicId < model.numTopics() @param numSamples the number of times to sample (with replacement) from the model @return array of length numSamples, with each entry being a sample from the model. Theremay be repeats
  • org.apache.mahout.knn.LumpyData.sample()
  • org.apache.mahout.math.random.ChineseRestaurant.sample()
  • org.apache.mahout.math.random.MultiNormal.sample()
  • org.apache.mahout.math.stats.Sampler.sample()
  • org.apache.openejb.api.Monitor.sample()
  • plm.hmm.DlmHiddenMarkovModel.sample()
    Sample a trajectory up to time T. Note: this method will add the filter's current input to the initial (and all other) states, so if you set the model input, the offset/input will be added twice to the initial state. @param random @param numSamples @return
  • prefuse.data.parser.TypeInferencer.sample()
    Sample the given text string for the given data column index. @param column the data column index of the sample @param value the text string sample
  • twitter4j.TwitterStream.sample()
    tter.com/Streaming-API-Documentation#sample">Twitter API Wiki / Streaming API Documentation - sample @since Twitter4J 2.0.10
  • vanilla.java.processingengine.testing.Histogram.sample()

    • Examples of twitter4j.TwitterStream.sample()

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          .setOAuthAccessTokenSecret("****************");
        TwitterStream twitterStream = new TwitterStreamFactory(cb.build()).getInstance();
            TwitterDownloader td = new TwitterDownloader();
            StatusListener listener = td.makeListener(twitterStream);
            twitterStream.addListener(listener);
            twitterStream.sample();
      }

    }
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    Examples of twitter4j.TwitterStream.sample()

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        AccessToken token = new AccessToken(accessToken, accessTokenSecret);
        twitterStream.setOAuthAccessToken(token);
       
        if (keyWords.length == 0) {

          twitterStream.sample();
        }

        else {

          FilterQuery query = new FilterQuery().track(keyWords);
    View Full Code Here

    Examples of vanilla.java.processingengine.testing.Histogram.sample()

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                @Override
                public void report(@NotNull MetaData metaData, SmallReport smallReport) {
                    if (metaData.sourceId != gwId) return;

                    if (!throughputTest)
                        times.sample(metaData.inReadTimestamp7Delta * 100);
                    reportCount.getAndIncrement();
                }
            };
            Pe2GwReader pe2GwReader = new Pe2GwReader(gwId, pe2gw.createExcerpt(), listener);

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