Examples of Weight

• cleo.search.util.Weight
  Weight @author jwu @since 04/26, 2011
• com.alibaba.dubbo.registry.common.domain.Weight
• com.almende.eve.entity.Weight
• com.krminc.phr.domain.vitals.Weight
  @author cmccall
• com.monkygames.wox.health.data.Weight
  A record of a wo's weight. @version 1.0
• com.taobao.tddl.jdbc.group.config.Weight

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• it.unimi.dsi.mg4j.query.nodes.Weight
  A node representing a weight selection. @author Sebastiano Vigna
• org.apache.commons.math3.optim.nonlinear.vector.Weight
  Weight matrix of the residuals between model and observations.
  Immutable class. @version $Id: Weight.java 1416643 2012-12-03 19:37:14Z tn $ @since 3.1
• org.apache.commons.math3.optimization.Weight
  Weight matrix of the residuals between model and observations.
  Immutable class. @deprecated As of 3.1 (to be removed in 4.0). @since 3.1
• org.apache.lucene.search.Weight
  Expert: Calculate query weights and build query scorers.

  The purpose of {@link Weight} is to ensure searching does not modify a{@link Query}, so that a {@link Query} instance can be reused.
  {@link IndexSearcher} dependent state of the query should reside in the{@link Weight}.
  {@link AtomicReader} dependent state should reside in the {@link Scorer}.

  Since {@link Weight} creates {@link Scorer} instances for a given{@link AtomicReaderContext} ({@link #scorer(AtomicReaderContext,boolean,boolean,Bits)}) callers must maintain the relationship between the searcher's top-level {@link IndexReaderContext} and the context used to create a {@link Scorer}.

  A Weight is used in the following way:

  1. A Weight is constructed by a top-level query, given a IndexSearcher ( {@link Query#createWeight(IndexSearcher)}).
  2. The {@link #getValueForNormalization()} method is called on theWeight to compute the query normalization factor {@link Similarity#queryNorm(float)} of the query clauses contained in thequery.
  3. The query normalization factor is passed to {@link #normalize(float,float)}. At this point the weighting is complete.
  4. A Scorer is constructed by {@link #scorer(AtomicReaderContext,boolean,boolean,Bits)}.

  @since 2.9
• org.apache.mahout.utils.vectors.Weight
• org.apache.mahout.vectorizer.Weight
• org.broadleafcommerce.core.catalog.domain.Weight
  @author jfischer
• org.neuroph.core.Weight
  Neuron connection weight. @see Connection @author Zoran Sevarac
• tv.floe.metronome.classification.neuralnetworks.core.Weight
  Added the trainingMetaData member to support things like adagrad and momentum learning, - but be flexible for other future learning type needs @author josh