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classifier java example

  • classification basics | java machine learning library

    classification basics | java machine learning library

    Dec 16, 2008 · Now that we have constructed and trained a classifier, we can use it to classify new Instances. In this example we will reload the iris data set and use the trained classifier to predict the class label for each Instance. Dataset dataForClassification = FileHandler. loadDataset(new File("devtools/data/iris.data"), 4, ",");

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  • naive bayes classifier in machine learning - javatpoint

    naive bayes classifier in machine learning - javatpoint

    It is a probabilistic classifier, which means it predicts on the basis of the probability of an object. Some popular examples of Naïve Bayes Algorithm are spam filtration, Sentimental analysis, and …

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  • a simple machine learning example in java

    a simple machine learning example in java

    Jan 26, 2013 · This is a "Hello World" example of machine learning in Java. It simply give you a taste of machine learning in Java. Environment. Java 1.6+ and Eclipse. Step 1: Download Weka library. ... This code example use a set of classifiers provided by Weka. It trains model on the given dataset and test by using 10-split cross validation

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  • examples/classifier.java at

    examples/classifier.java at

    examples / lite / codelabs / flower_classification / android / finish / app / src / main / java / org / tensorflow / lite / examples / classification / tflite / Classifier.java / Jump to Code definitions

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  • github - ptnplanet/java-naive-bayes-classifier: a java

    github - ptnplanet/java-naive-bayes-classifier: a java

    Feb 02, 2017 · Here is an excerpt from the example. The classifier will classify sentences (arrays of features) as sentences with either positive or negative sentiment. Please refer to the full example for a more detailed documentation. // Create a new bayes classifier with string categories and string features

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  • random forest classifier example

    random forest classifier example

    Dec 20, 2017 · Taking another example, [ 0.9, 0.1, 0. ] tells us that the classifier gives a 90% probability the plant belongs to the first class and a 10% probability the plant belongs to the second class. Because 90 is greater than 10, the classifier predicts the plant is the first class. Evaluate Classifier

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  • : class classifier

    : class classifier

    classify(Example example) abstract Classifier: cloneClassifier() void: doTune(DataSet trainingData, java.lang.Object[] parameters, int tuneMethod) void: generateROCCurve(DataSet trainset, DataSet testset, java.lang.String filename) generateROCCurve() creates an ROC curve for the trainset and testset

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  • use k-nearest neighbors (knn) classifier in java

    use k-nearest neighbors (knn) classifier in java

    Jan 28, 2013 · Java Solution. kNN is also provided by Weka as a class "IBk". IBk implements kNN. It uses normalized distances for all attributes so that attributes on different scales have the same impact on the distance function. It may return more than k neighbors if there are ties in the distance. Neighbors are voted to form the final classification

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  • smile.classification.knn java code examples | codota

    smile.classification.knn java code examples | codota

    K-nearest neighbor classifier. The k-nearest neighbor algorithm (k-NN) is a method for classifying objects by a majority vote of its neighbors, with the object being assigned to the class most common amongst its k nearest neighbors (k is a positive integer, typically small)

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  • java - what is the purpose of mavens dependency

    java - what is the purpose of mavens dependency

    Dec 10, 2017 · Example for Classifier As a motivation for this element, consider for example a project that offers an artifact targeting JRE 1.8 but at the same time also an artifact that still supports JRE 1.7. The first artifact could be equipped with the classifier jdk18 and the second one with jdk14 such that clients can choose which one to use

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  • python - how can i call scikit-learn classifiers from java

    python - how can i call scikit-learn classifiers from java

    Oct 05, 2012 · The easiest ways to use scikit-learn in a java environment would be to: expose the classifier as a HTTP / Json service, for instance using a microframework such as flask or bottle or cornice and call it from java using an HTTP client library

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  • emaraic - how to use weka in your java code

    emaraic - how to use weka in your java code

    Jul 02, 2017 · Indroduction. Weka is a standard Java tool for performing both machine learning experiments and for embedding trained models in Java applications

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  • support vector machine (svm) algorithm - javatpoint

    support vector machine (svm) algorithm - javatpoint

    Example: SVM can be understood with the example that we have used in the KNN classifier. Suppose we see a strange cat that also has some features of dogs, so if we want a model that can accurately identify whether it is a cat or dog, so such a model can be created by using the SVM algorithm

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  • nested classes (the java tutorials > learning the java

    nested classes (the java tutorials > learning the java

    This example defines three variables named x: the member variable of the class ShadowTest, the member variable of the inner class FirstLevel, and the parameter in the method methodInFirstLevel. The variable x defined as a parameter of the method methodInFirstLevel shadows …

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  • class classifier - university of texas at austin

    class classifier - university of texas at austin

    public abstract class Classifier extends java.lang.Object. Abstract class specifying the functionality of a classifier. Provides methods for training and testing a classifier ... Trains the classifier on the training examples Parameters: trainingExamples - a list of Example objects that will be used for training the classifier. test public

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