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ivan-vasilev / neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

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Should all tests pass well?

dims12 opened this issue · comments

commented

I ran all tests from withing Eclipse, which found all classes with @test annotation and an them. Most of the passed, but two failed:

  1. com.github.neuralnetworks.samples.test.IrisTest.testAE()

Last assertion failed: java.lang.AssertionError: expected: 0.0 but was:0.9866667

  1. com.github.neuralnetworks.test.AETest.testAEBackpropagation()

Also last assertion failed: java.lang.AssertionError: expected:0.0 but was:0.1

Is this normal? Are these tests expected to run well?

commented

Yes, this is normal. These are tests on unsupervised training algorithms
and the end result is not strictly defined.
On Jun 21, 2014 5:16 PM, "dims12" notifications@github.com wrote:

I ran all tests from withing Eclipse, which found all classes with @test
https://github.com/Test annotation and an them. Most of the passed, but
two failed:

  1. com.github.neuralnetworks.samples.test.IrisTest.testAE()

Last assertion failed: java.lang.AssertionError: expected: but was:

  1. com.github.neuralnetworks.test.AETest.testAEBackpropagation()

Also last assertion failed: java.lang.AssertionError: expected: but was:

Is this normal? Are these tests expected to run well?

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#28.

commented

Ah, cool thanks. I am bad with gradle and was thinking this is because I did something wrong... Will explore your masterpiece deeper :)