c36de6cdea1f31a6a975d436b065475251f8caaf,deepchem/metrics/tests/test_genomics.py,TestGenomicMetrics,test_in_silico_mutagenesis,#TestGenomicMetrics#,49

Before Change

  def test_in_silico_mutagenesis(self):
    Test in-silico mutagenesis returns correct shape.
    // Construct and train SequenceDNN model
    X = np.random.rand(10, 1, 4, 50)
    y = np.random.randint(0, 2, size=(10, 1))
    dataset = dc.data.NumpyDataset(X, y)
    model = dc.models.SequenceDNN(
        50, "binary_crossentropy", num_filters=[1, 1], kernel_size=[15, 15])

After Change

    sequences = dc.utils.save.seq_one_hot_encode(sequences, letters=LETTERS)
    labels = np.array([1, 0, 0])
    labels = np.reshape(labels, (3, 1))
    self.assertEqual(sequences.shape, (3, 4, 5, 1))

    //X = np.random.rand(10, 1, 4, 50)
    //y = np.random.randint(0, 2, size=(10, 1))
    //dataset = dc.data.NumpyDataset(X, y)

Instances