Examples of org.encog.platformspecific.j2se.data.SQLNeuralDataSet

Package org.encog.platformspecific.j2se.data

Examples of org.encog.platformspecific.j2se.data.SQLNeuralDataSet

org.encog.platformspecific.j2se.data.SQLNeuralDataSet
A dataset based on a SQL query. This is not a memory based dataset, so it can handle very large datasets without a memory issue. This class makes use of JDBC to query the database. If you are running into "out of memory" issues with this class try setting a lower "fetch size". This can be done with: SQLCODEC.FETCH_SIZE = 1000;

    network.addLayer(new BasicLayer(2));
    network.addLayer(new BasicLayer(1));
    network.getStructure().finalizeStructure();
    network.reset();


    MLDataSet trainingSet = new SQLNeuralDataSet(
        XORSQL.SQL,
        XORSQL.INPUT_SIZE,
        XORSQL.IDEAL_SIZE,
        XORSQL.SQL_DRIVER,
        XORSQL.SQL_URL,

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    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(0,0,0)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(1,0,1)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(0,1,1)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(1,1,0)");
    
    SQLNeuralDataSet data = new SQLNeuralDataSet(
        "SELECT in1,in2,ideal1 FROM xor ORDER BY id",
        2,
        1, 
        HSQLUtil.DRIVER, 
        HSQLUtil.URL,

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    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(0,0,0)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(1,0,1)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(0,1,1)");
    s.execute("INSERT INTO xor(in1,in2,ideal1) VALUES(1,1,0)");
    
    SQLNeuralDataSet data = new SQLNeuralDataSet(
        "SELECT in1,in2,ideal1 FROM xor ORDER BY id",
        2,
        1, 
        HSQLUtil.DRIVER, 
        HSQLUtil.URL,

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Related Classes of org.encog.platformspecific.j2se.data.SQLNeuralDataSet

org.encog.examples.neural.xorsql.XORSQL

org.encog.ml.data.buffer.codec.DataSetCODEC

org.encog.ml.data.buffer.codec.SQLCODEC

org.encog.ml.data.buffer.MemoryDataLoader

org.encog.neural.data.sql.TestSQLDataSet

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