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Classifier

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Screw classifiers can be classified into high weir single spiral and double spiral, sinking four kinds of single and double helices grader.

Processing ability:770-2800T/24H

Rotation rate:2.5~6r/min

Applied materials:Natural sand, artificial sand, machine-made sand, limestone, talc, graphite, barite, mica, kaolin.

spiral classifier java example

In this example, we train a MaxEnt classifier using a list of training instances (for information on creating instance lists, see the data import developer's guide). public Classifier trainClassifier(InstanceList trainingInstances) { // Here we use a maximum entropy (ie polytomous logistic regression) // classifier

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  • createa simple predictive analytics classification model

    createa simple predictive analytics classification model

    Nov 12, 2013 · This example will only classify one instance at a time, so a single instance, stored in the array of double values, is added to the Instances object through the add() method. The example adds an anonymous Instance object that is created inline. The first argument to the Instance constructor is the weight of this instance. The weight may be necessary if a weighted dataset is to be used for training

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  • classification using decision trees in... -tutorialkart

    classification using decision trees in... -tutorialkart

    Classification using Decision Trees in Apache Spark MLlib with Java. Following is a step by step process to build a classifier using Decision Tree algorithm of MLLib :Setup Java Project with Apache Spark. 1. Configure Spark. SparkConf sparkConf = new SparkConf().setAppName("DecisionTreeExample"); 2. Start a …

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  • createa simple predictive analytics classification model

    createa simple predictive analytics classification model

    Nov 12, 2013 · This example will only classify one instance at a time, so a single instance, stored in the array of double values, is added to the Instances object through the add() method. The example adds an anonymous Instance object that is created inline. The first argument to the Instance constructor is the weight of this instance. The weight may be necessary if a weighted dataset is to be used for training

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  • classificationbasics |javamachine learning library

    classificationbasics |javamachine learning library

    Dec 16, 2008 · This tutorial explains the basics of setting up a classifier, training the algorithm and evaluating its performance. First we need to initialize a classifier, next we can train it with some data, and finally we can use it to classify new instances

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  • classification using naive bayes inapache ... -tutorialkart

    classification using naive bayes inapache ... -tutorialkart

    Steps for Classification using Naive Bayes. Following is a step by step process to build a classifier using Naive Bayes algorithm of MLLib. You may setup Java Project with Apache Spark and follow the steps. 1. Configure Spark. SparkConf sparkConf = new SparkConf ().setAppName ("NaiveBayesClassifierExample"); 2

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  • developing a naive bayes text classifier in java

    developing a naive bayes text classifier in java

    In this article, we are going to put everything together and build a simple implementation of the Naive Bayes text classification algorithm in JAVA. The code of the classifier is open-sourced (under GPL v3 license) and you can download it from Github. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Check

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  • emaraic - how to usewekain yourjavacode

    emaraic - how to usewekain yourjavacode

    Classifier cls = null; try { cls = (MultilayerPerceptron) SerializationHelper.read(path); result = classVal.get((int) cls.classifyInstance(insts.firstInstance())); } catch (Exception ex) { Logger.getLogger(ModelClassifier.class.getName()).log(Level.SEVERE, null, ex); } return result; } public Instances getInstance() { return dataRaw; } }

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  • document classification with lucene| lingpipe blog

    document classification with lucene| lingpipe blog

    Apr 10, 2014 · As promised in my last post, this post shows you how to use Lucene’s ranked search results and document store to build a simple classifier.Most of this post is excerpted from Text Processing in Java, Chapter 7, Text Search with Lucene.The data and source code for this example are contained in the source bundle distributed with this book, which can be downloaded from …

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  • guide to java 8 groupingby collector| baeldung

    guide to java 8 groupingby collector| baeldung

    Jan 30, 2021 · A guide to Java 8 groupingBy Collector with usage examples. The Java 8 Stream API lets us process collections of data in a declarative way.. The static factory methods Collectors.groupingBy() and Collectors.groupingByConcurrent() provide us with functionality similar to the ‘GROUP BY' clause in the SQL language.We use them for grouping objects by some property and storing results in a Map

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  • email spam classifier java application with spark– ramok.tech

    email spam classifier java application with spark– ramok.tech

    Sep 26, 2017 · Email Spam Classifier Java Application with SPARK. In this post we are going to develop an application for the purpose of detecting spam emails.The algorithm which will be used is Logistic Regression , implementation from SPARK MLib. No deep knowledge on the field is required as the topics are described from a high level perspective as possible

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  • java class and objects(withexample)

    java class and objects(withexample)

    Java Objects. An object is called an instance of a class. For example, suppose Bicycle is a class then MountainBicycle, SportsBicycle, TouringBicycle, etc can be considered as objects of the class.. Creating an Object in Java. Here is how we can create an object of a class

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  • use weka in your java code- weka wiki

    use weka in your java code- weka wiki

    For example, the Explorer, or a classifier/clusterer run from the command line, uses only a seeded java.util.Random number generator, whereas the weka.core.Instances.getRandomNumberGenerator(int) (which the WekaDemo.java uses) also takes the data into account for seeding. Unless one runs 10-fold cross-validation 10 times and averages the results, one will most likely get different results

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  • smile.classification.svm javacodeexamples| codota

    smile.classification.svm javacodeexamples| codota

    For example, the feature space corresponding Gaussian kernel is a Hilbert space of infinite dimension. Thus though the classifier is a hyperplane in the high-dimensional feature space, it may be nonlinear in the original input space. Maximum margin classifiers are well regularized, so the infinite dimension does not spoil the results

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  • writing classifier- weka wiki

    writing classifier- weka wiki

    Here's an example call for weka.classifiers.trees.Id3 and the generated class weka.classifiers.WekaWrapper (it wraps the actual generated code in a pseudo-classifier): java weka.classifiers.CheckSource \ -W "weka.classifiers.trees.Id3" \ -S weka.classifiers.WekaWrapper \ -t data.arff \ -c last It needs to return Tests OK!. Unit tests

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  • createa simple predictive analytics classification model

    createa simple predictive analytics classification model

    Nov 12, 2013 · Classification methods address these class prediction problems. The most familiar of these is probably the logit model taught in many graduate-level statistics courses. The example in this article will use the RandomTree classifier, included in Weka. The RandomTree is a tree-based classifier that considers a random set of features at each branch

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  • software/classifier- nlpwiki

    software/classifier- nlpwiki

    Apr 02, 2016 · If you wish to use a classifier in an application, what you want to do is to train and save a classifier and then to load it to classify some data. Here is an example of doing this with the same data: java -cp "*" edu.stanford.nlp.classify.ColumnDataClassifier -prop examples/cheese2007.prop -serializeTo cheeseDiseaseModel.ser.gz

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  • weka-classifier-examples/classifier.javaat master

    weka-classifier-examples/classifier.javaat master

    Use of j48 and NaiveBayes algorithms to classify a dataset - amplia/weka-classifier-examples. Use of j48 and NaiveBayes algorithms to classify a dataset - amplia/weka-classifier-examples. ... * This class implements a simple text classifier in Java using WEKA. It loads a * file with the text to classify, and the model that has been learnt with

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