Examples of Evaluation

com.mobixess.jodb.soda.api.Evaluation
for implementation of callback evaluations.

To constrain a {@link Query} node with your own callbackEvaluation, construct an object that implements the Evaluation interface and register it by passing it to {@link Query#constrain(Object) Query#constrain(Object)}.

Evaluations are called as the last step during query execution, after all other constraints have been applied. Evaluations in higher level {@link Query} nodes in the query graph are called first.use {@code com.mobixess.jodb.query.api.Evaluation} instead
cross.reputation.model.Evaluation
edu.stanford.nlp.sempre.Evaluation
An Evaluation measures how well the system is doing on a set of examples. Formally, it is just a collection of arbitrary statistics. @author Percy Liang
net.sf.mp.demo.conference.domain.conference.Evaluation

Title: Evaluation

Description: Domain Object describing a Evaluation entity
ognl.Evaluation
An Evaluation is and object that holds a node being evaluated and the source from which that node will take extract its value. It refers to child evaluations that occur as a result of the nodes' evaluation.
org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation
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.fenixedu.academic.domain.Evaluation
org.fnlp.ml.eval.Evaluation
评测类给定数据集，计算分类器的分类性能。 @author xpqiu
org.neo4j.graphdb.traversal.Evaluation
org.ocpsoft.rewrite.bind.Evaluation
@author Lincoln Baxter, III
org.terrier.evaluation.Evaluation
An abstract class for evaluating the retrieval results. @author Gianni Amati, Ben He, Vassilis Plachouras
teammates.jdo.Evaluation
Evaluation is a persistent data class that holds information pertaining to an evaluation on Teammates. @author Gerald GOH
teammates.testing.object.Evaluation
tv.floe.metronome.eval.Evaluation
types.Evaluation
weka.classifiers.Evaluation
Class for evaluating machine learning models.
-------------------------------------------------------------------
General options when evaluating a learning scheme from the command-line:
-t filename
Name of the file with the training data. (required)
-T filename
Name of the file with the test data. If missing a cross-validation is performed.
-c index
Index of the class attribute (1, 2, ...; default: last).
-x number
The number of folds for the cross-validation (default: 10).
-no-cv
No cross validation. If no test file is provided, no evaluation is done.
-split-percentage percentage
Sets the percentage for the train/test set split, e.g., 66.
-preserve-order
Preserves the order in the percentage split instead of randomizing the data first with the seed value ('-s').
-s seed
Random number seed for the cross-validation and percentage split (default: 1).
-m filename
The name of a file containing a cost matrix.
-l filename
Loads classifier from the given file. In case the filename ends with ".xml", a PMML file is loaded or, if that fails, options are loaded from XML.
-d filename
Saves classifier built from the training data into the given file. In case the filename ends with ".xml" the options are saved XML, not the model.
-v
Outputs no statistics for the training data.
-o
Outputs statistics only, not the classifier.
-i
Outputs information-retrieval statistics per class.
-k
Outputs information-theoretic statistics.
-classifications "weka.classifiers.evaluation.output.prediction.AbstractOutput + options"
Uses the specified class for generating the classification output. E.g.: weka.classifiers.evaluation.output.prediction.PlainText or : weka.classifiers.evaluation.output.prediction.CSV -p range
Outputs predictions for test instances (or the train instances if no test instances provided and -no-cv is used), along with the attributes in the specified range (and nothing else). Use '-p 0' if no attributes are desired.
Deprecated: use "-classifications ..." instead.
-distribution
Outputs the distribution instead of only the prediction in conjunction with the '-p' option (only nominal classes).
Deprecated: use "-classifications ..." instead.
-r
Outputs cumulative margin distribution (and nothing else).
-g
Only for classifiers that implement "Graphable." Outputs the graph representation of the classifier (and nothing else).
-xml filename | xml-string
Retrieves the options from the XML-data instead of the command line.
-threshold-file file
The file to save the threshold data to. The format is determined by the extensions, e.g., '.arff' for ARFF format or '.csv' for CSV.
-threshold-label label
The class label to determine the threshold data for (default is the first label)
-------------------------------------------------------------------
Example usage as the main of a classifier (called FunkyClassifier):
```
 public static void main(String [] args) { runClassifier(new FunkyClassifier(), args); } 
```
------------------------------------------------------------------
Example usage from within an application:
```
 Instances trainInstances = ... instances got from somewhere Instances testInstances = ... instances got from somewhere Classifier scheme = ... scheme got from somewhere Evaluation evaluation = new Evaluation(trainInstances); evaluation.evaluateModel(scheme, testInstances); System.out.println(evaluation.toSummaryString()); 
```
@author Eibe Frank (eibe@cs.waikato.ac.nz) @author Len Trigg (trigg@cs.waikato.ac.nz) @version $Revision: 7228 $

Examples of teammates.jdo.Evaluation

   *         otherwise
   */
  public boolean editEvaluation(String courseID, String name,
      String newInstructions, boolean newCommentsEnabled, Date newStart,
      Date newDeadline, int newGracePeriod) {
    Evaluation evaluation = getEvaluation(courseID, name);
    Transaction tx = getPM().currentTransaction();
    try {
      tx.begin();


      evaluation.setInstructions(newInstructions);
      evaluation.setStart(newStart);
      evaluation.setDeadline(newDeadline);
      evaluation.setGracePeriod(newGracePeriod);
      evaluation.setCommentsEnabled(newCommentsEnabled);


      getPM().flush();


      tx.commit();
    } finally {

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Examples of teammates.jdo.Evaluation

   * @param name
   *            the evaluation name (Pre-condition: The courseID and
   *            evaluationName pair must be valid)
   */
  public boolean closeEvaluation(String courseID, String name) {
    Evaluation evaluation = getEvaluation(courseID, name);


    int oneday = 24 * 60 * 60 * 1000;
    Date start = new Date(System.currentTimeMillis() - 2 * oneday);
    Date end = new Date(System.currentTimeMillis() - oneday);


    evaluation.setStart(start);
    evaluation.setDeadline(end);
    // evaluation.setActivated(false);


    return true;
  }

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Examples of teammates.jdo.Evaluation


    Transaction trans = getPM().currentTransaction();
    try {
      trans.begin();


      Evaluation evaluation = getEvaluation(courseID, name);


      if (evaluation == null)
        return false;


      long oneday = 24 * 60 * 60 * 1000;
      Date start = new Date(System.currentTimeMillis() - oneday);
      Date end = new Date(System.currentTimeMillis() + oneday);
      evaluation.setStart(start);
      evaluation.setDeadline(end);
      evaluation.setActivated(true);


      getPM().flush();
      trans.commit();


    } finally {

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Examples of teammates.jdo.Evaluation

    Transaction trans = getPM().currentTransaction();
    try {


      trans.begin();


      Evaluation evaluation = getEvaluation(courseID, name);


      int oneday = 24 * 60 * 60 * 1000;
      Date start = new Date(System.currentTimeMillis() + oneday);
      Date end = new Date(System.currentTimeMillis() + oneday * 2);
      evaluation.setActivated(false);
      evaluation.setStart(start);
      evaluation.setDeadline(end);


      getPM().flush();
      trans.commit();


    } finally {

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Examples of teammates.jdo.Evaluation

    Queue queue = QueueFactory.getQueue("email-queue");
    List<TaskOptions> taskOptionsList = new ArrayList<TaskOptions>();


    DateFormat df = new SimpleDateFormat("dd/MM/yyyy HHmm");


    Evaluation evaluation = getEvaluation(courseID, evaluationName);


    Date start = evaluation.getStart();
    Date deadline = evaluation.getDeadline();
    String instructions = evaluation.getInstructions();


    for (Student s : studentList) {
      // There is a limit of 100 tasks per batch addition to Queue in
      // Google App
      // Engine

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Examples of teammates.jdo.Evaluation

   *            the evaluation name (Pre-condition: The courseID and name pair
   *            must be valid)
   */
  public boolean publishEvaluation(String courseID, String name,
      List<Student> studentList) {
    Evaluation evaluation = getEvaluation(courseID, name);


    evaluation.setPublished(true);


    informStudentsOfPublishingOfEvaluationResults(studentList, courseID,
        name);


    return true;

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Examples of teammates.jdo.Evaluation

   * @param name
   *            the evaluation name (Pre-condition: The courseID and name pair
   *            must be valid)
   */
  public boolean unpublishEvaluation(String courseID, String name) {
    Evaluation evaluation = getEvaluation(courseID, name);


    evaluation.setPublished(false);


    return true;
  }

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Examples of teammates.jdo.Evaluation

    Courses courses = Courses.inst();
    List<Student> studentList = courses.getStudentList(courseID);


    // Filter out students who have submitted the evaluation
    Evaluations evaluations = Evaluations.inst();
    Evaluation evaluation = evaluations.getEvaluation(courseID,
        evaluationName);


    if (evaluation == null) {
      System.err
          .println(String
              .format("Evaluation not found. CourseID = %s. Evaluation Name = %s",
                  courseID, evaluationName));
      return;
    }


    List<Student> studentsToRemindList = new ArrayList<Student>();


    for (Student s : studentList) {
      if (!evaluations.isEvaluationSubmitted(evaluation, s.getEmail())) {
        studentsToRemindList.add(s);
      }
    }


    Date deadline = evaluation.getDeadline();


    evaluations.remindStudents(studentsToRemindList, courseID,
        evaluationName, deadline);


  }

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Examples of teammates.jdo.Evaluation

    Evaluations evaluations = Evaluations.inst();


    Calendar now = Calendar.getInstance();
    Calendar deadline = Calendar.getInstance();


    Evaluation evaluation = evaluations.getEvaluation(courseID,
        evaluationName);
    deadline.setTime(evaluation.getDeadline());
    deadline.set(Calendar.MINUTE, deadline.get(Calendar.MINUTE)
        + evaluation.getGracePeriod());


    now.add(Calendar.MILLISECOND,
        (int) (60 * 60 * 1000 * evaluation.getTimeZone()));


    if (now.after(deadline)) {
      resp.getWriter().write(
          MSG_STATUS_OPENING + MSG_EVALUATION_DEADLINEPASSED
              + MSG_STATUS_CLOSING);

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Examples of teammates.jdo.Evaluation


  protected void evaluationAdd() throws IOException {
    String json = req.getParameter("evaluation");


    Gson gson = new Gson();
    Evaluation e = gson.fromJson(json, Evaluation.class);


    boolean edited = Evaluations.inst().addEvaluation(e);


    // TODO take a snapshot of submissions

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