fixed bug where I forgot to change the name from nn to numpyneuron

gradio_app.py

@@ -4,7 +4,7 @@ from sklearn.model_selection import train_test_split
 import numpy as np
 import gradio as gr
 
-import nn
+import numpyneuron as nn
 from vis import (  # classification visualization funcitons
     show_digits,
     hits_and_misses,

numpyneuron/loss.py

@@ -1,5 +1,5 @@
 from abc import ABC, abstractmethod
-from nn.activation import SoftMax
+from .activation import SoftMax
 import numpy as np
 
 

numpyneuron/nn.py

@@ -4,8 +4,8 @@ import gradio as gr
 import numpy as np
 from tqdm import tqdm
 
-from nn.activation import Activation
-from nn.loss import Loss, LogitsLoss
+from .activation import Activation
+from .loss import Loss, LogitsLoss
 
 
 DTYPE = np.float32

setup.py

@@ -2,7 +2,7 @@ from setuptools import setup, find_packages
 
 setup(
     name="numpyneuron",
-    version="0.2",
+    version="0.3",
     author="Jensen Holm",
     author_email="jensen.dev.01@gmail.com",
     description="Simple, lightweight neural network framework built in numpy",