fucking relative imports (#12)

mlfz/classical/knn.py

@@ -1,6 +1,6 @@
 import numpy as np
 from scipy.spatial.distance import cdist
-from .base import Model
+from mlfz.classical.base import Model
 
 
 class KNNClassifier(Model):

mlfz/classical/linear.py

@@ -1,6 +1,6 @@
 import numpy as np
 from .base import Model
-from ..functional.numpy import sigmoid
+from mlfz.functional.numpy import sigmoid
 
 
 def _augment_data(X: np.array):

mlfz/classical/pipeline.py

@@ -1,6 +1,6 @@
 import numpy as np
 from typing import Iterable
-from .base import Model
+from mlfz.classical.base import Model
 
 
 class Pipeline(Model):

mlfz/classical/scaler.py

@@ -1,5 +1,5 @@
 import numpy as np
-from .base import Model
+from mlfz.classical.base import Model
 
 
 class Normalize(Model):

mlfz/classical/tree/cart.py

@@ -1,7 +1,7 @@
 import numpy as np
 from graphviz import Digraph
 from typing import List, Callable
-from ..base import Model
+from mlfz.classical.base import Model
 
 
 def most_frequent_label(Y):

mlfz/datasets.py

@@ -1,5 +1,5 @@
 import numpy as np
-from .functional.numpy import sigmoid
+from mlfz.functional.numpy import sigmoid
 
 
 def generate_clusters(n_clusters, n_features, points_per_cluster, spread=1.0):

mlfz/nn/scalar/functional.py

@@ -1,6 +1,6 @@
 import math
-from .core import Scalar, Edge
-from ...functional import vanilla as f
+from mlfz.nn.scalar.core import Scalar, Edge
+from mlfz.functional import vanilla as f
 
 
 def sin(x: Scalar):

mlfz/nn/scalar/loss.py

@@ -1,6 +1,6 @@
 import math
-from .core import Scalar
-from .functional import log
+from mlfz.nn.scalar.core import Scalar
+from mlfz.nn.scalar.functional import log
 from typing import List
 
 

mlfz/nn/tensor/functional.py

@@ -1,7 +1,7 @@
 import numpy as np
-from .core import Tensor, Edge
-from .core.utils import _pointwise
-from ...functional import numpy as f
+from mlfz.nn.tensor.core import Tensor, Edge
+from mlfz.nn.tensor.core.utils import _pointwise
+from mlfz.functional import numpy as f
 
 
 def exp(x: Tensor):

mlfz/nn/tensor/loss.py

@@ -1,5 +1,5 @@
-from .core import Tensor
-from .functional import log
+from mlfz.nn.tensor import Tensor
+from mlfz.nn.tensor.functional import log
 
 
 def mean_squared_error(preds: Tensor, ys: Tensor) -> Tensor:

setup.py

@@ -3,7 +3,7 @@
 
 setup(
     name="mlfz",
-    version="0.1.3",
+    version="0.1.3.1",
     author="Tivadar Danka",
     description="Machine Learning From Zero: an educational machine learning library.",
     long_description=open("README.md").read(),