Package etc.aloe.cscw2013

Examples of etc.aloe.cscw2013.TrainingImpl

200
201
202
203
204
205
206
207
208
209
210
    @Override
    public Balancing constructBalancing() {
        if (options instanceof TrainOptionsImpl) {
            TrainOptionsImpl trainOpts = (TrainOptionsImpl) options;
            if (trainOpts.useDownsampling) {
                return new DownsampleBalancing(trainOpts.falsePositiveCost, trainOpts.falseNegativeCost);
            } else if (trainOpts.useUpsampling) {
                return new UpsampleBalancing(trainOpts.falsePositiveCost, trainOpts.falseNegativeCost);
            } else {
                return null;
            }
View Full Code Here
111
112
113
114
115
116
117
        return new WekaModel();
    }

    @Override
    public FeatureExtraction constructFeatureExtraction() {
        return new FeatureExtractionImpl();
    }
View Full Code Here
120
121
122
123
124
125
126
127
128
129
130
131
    public FeatureGeneration constructFeatureGeneration() {
        if (options instanceof TrainOptionsImpl) {
            TrainOptionsImpl trainOpts = (TrainOptionsImpl) options;
            //Read the emoticons
            List<String> termList = loadTermList(trainOpts.emoticonFile);
            FeatureGenerationImpl featureGen = new FeatureGenerationImpl(termList);
            featureGen.setParticipantFeatureCount(trainOpts.participantFeatures);
            return featureGen;
        } else {
            throw new IllegalArgumentException("Options not for Training");
        }
    }
View Full Code Here
130
131
132
133
134
135
136
        }
    }

    @Override
    public LabelMapping constructLabelMapping() {
        return new LabelMappingImpl();
    }
View Full Code Here
164
165
166
167
168
169
170
171
172
173
174
        } else {
            throw new IllegalArgumentException("Options should be for Training or Labeling");
        }

        if (disableSegmentation) {
            return new NullSegmentation();
        } else {
            Segmentation segmentation = new ThresholdSegmentation(segmentationThresholdSeconds,
                    !ignoreParticipants);
            segmentation.setSegmentResolution(new ResolutionImpl());
            return segmentation;
View Full Code Here
135
136
137
138
139
140
141
        return new LabelMappingImpl();
    }

    @Override
    public SegmentResolution constructSegmentResolution() {
        return new ResolutionImpl();
    }
View Full Code Here
168
169
170
171
172
173
174
175
176
        if (disableSegmentation) {
            return new NullSegmentation();
        } else {
            Segmentation segmentation = new ThresholdSegmentation(segmentationThresholdSeconds,
                    !ignoreParticipants);
            segmentation.setSegmentResolution(new ResolutionImpl());
            return segmentation;
        }
    }
View Full Code Here
140
141
142
143
144
145
146
        return new ResolutionImpl();
    }

    @Override
    public FeatureWeighting constructFeatureWeighting() {
        return new SMOFeatureWeighting();
    }
View Full Code Here
166
167
168
169
170
171
172
173
174
175
176
        }

        if (disableSegmentation) {
            return new NullSegmentation();
        } else {
            Segmentation segmentation = new ThresholdSegmentation(segmentationThresholdSeconds,
                    !ignoreParticipants);
            segmentation.setSegmentResolution(new ResolutionImpl());
            return segmentation;
        }
    }
View Full Code Here
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
    @Override
    public Training constructTraining() {
        if (options instanceof TrainOptionsImpl) {
            TrainOptionsImpl trainOpts = (TrainOptionsImpl) options;

            TrainingImpl trainingImpl = new TrainingImpl();
           
            trainingImpl.setBuildLogisticModel(true);
           
            if (trainOpts.useMinCost || trainOpts.useReweighting) {
                trainingImpl.setUseCostTraining(true);
                trainingImpl.setFalsePositiveCost(trainOpts.falsePositiveCost);
                trainingImpl.setFalseNegativeCost(trainOpts.falseNegativeCost);
                trainingImpl.setUseReweighting(trainOpts.useReweighting);
            }

            return trainingImpl;
        } else {
            throw new IllegalArgumentException("Options must be for Training");
View Full Code Here
TOP

Related Classes of etc.aloe.cscw2013.TrainingImpl

  • etc.aloe.cscw2013.WekaModel
  • etc.aloe.cscw2013.WekaModelTest
  • etc.aloe.data.ExampleSet
  • etc.aloe.data.FeatureSpecification
  • etc.aloe.data.Message
  • etc.aloe.data.MessageSet
  • etc.aloe.data.Predictions
  • etc.aloe.data.Segment
  • etc.aloe.data.SegmentSet
  • etc.aloe.factories.CSCW2013
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.