Loading deepchem/trans/transformers.py +5 −6 Original line number Diff line number Diff line Loading @@ -1600,8 +1600,7 @@ class ANITransformer(Transformer): class FeaturizationTransformer(Transformer): """A transformer which runs a featurizer over the X values of a dataset. Datasets used by this transformer be compatible with the internal featurizer. Datasets used by this transformer be compatible with the internal featurizer. """ def __init__(self, Loading Loading @@ -1706,7 +1705,7 @@ class DataTransforms(Transformer): Denotes angle by which the image should be rotated (in Degrees) Returns ---------- ------- The rotated input array """ return scipy.ndimage.rotate(self.Image, angle) Loading @@ -1732,7 +1731,7 @@ class DataTransforms(Transformer): the total number of pixels to remove in the vertical direction, evenly split between the top and bottom sides Returns ---------- ------- The center cropped input array """ Loading @@ -1757,7 +1756,7 @@ class DataTransforms(Transformer): the number of pixels to exclude from the bottom of the image Returns ---------- ------- The cropped input array """ y = self.Image.shape[0] Loading @@ -1768,7 +1767,7 @@ class DataTransforms(Transformer): """Converts the image to grayscale. The coefficients correspond to the Y' component of the Y'UV color system. Returns ---------- ------- The grayscale image. """ return np.dot(self.Image[..., :3], [0.2989, 0.5870, 0.1140]) Loading Loading
deepchem/trans/transformers.py +5 −6 Original line number Diff line number Diff line Loading @@ -1600,8 +1600,7 @@ class ANITransformer(Transformer): class FeaturizationTransformer(Transformer): """A transformer which runs a featurizer over the X values of a dataset. Datasets used by this transformer be compatible with the internal featurizer. Datasets used by this transformer be compatible with the internal featurizer. """ def __init__(self, Loading Loading @@ -1706,7 +1705,7 @@ class DataTransforms(Transformer): Denotes angle by which the image should be rotated (in Degrees) Returns ---------- ------- The rotated input array """ return scipy.ndimage.rotate(self.Image, angle) Loading @@ -1732,7 +1731,7 @@ class DataTransforms(Transformer): the total number of pixels to remove in the vertical direction, evenly split between the top and bottom sides Returns ---------- ------- The center cropped input array """ Loading @@ -1757,7 +1756,7 @@ class DataTransforms(Transformer): the number of pixels to exclude from the bottom of the image Returns ---------- ------- The cropped input array """ y = self.Image.shape[0] Loading @@ -1768,7 +1767,7 @@ class DataTransforms(Transformer): """Converts the image to grayscale. The coefficients correspond to the Y' component of the Y'UV color system. Returns ---------- ------- The grayscale image. """ return np.dot(self.Image[..., :3], [0.2989, 0.5870, 0.1140]) Loading
