Found in titles:
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Python: email.generator [100%] (library)
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DMelt: hep.physics.event.generator.EventGenerator [70%] (Java API)
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DMelt: hep.physics.event.generator.GeneratorEvent [70%] (Java API)
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DMelt: hep.physics.event.generator.GeneratorFactory [70%] (Java API)
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DMelt: hep.physics.event.generator.MCEvent [70%] (Java API)
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DMelt: hep.physics.event.generator.package-frame [70%] (Java API)
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DMelt: hep.physics.event.generator.package-summary [70%] (Java API)
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DMelt: hep.physics.event.generator.diagnostic.DiagnosticEventGenerator [59%] (Java API)
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DMelt: hep.physics.event.generator.diagnostic.package-frame [59%] (Java API)
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DMelt: hep.physics.event.generator.diagnostic.package-summary [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.AbstractPrgGenerator [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.GenerateWorker [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.PrgFullGenerator [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.PrgGenerator [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.PrgGrowGenerator [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.RampedHalfAndHalf [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.package-frame [59%] (Java API)
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DMelt: org.encog.ml.prg.generator.package-summary [59%] (Java API)
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Jython Example: stat_poly_regression.py [39%] Polynomial regression example. It shows PolySolve generator to fit X-Y data.
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