uploaded package to pypi and added func tests

Author: enochkan

.gitignore

@@ -0,0 +1,2 @@
+/*.egg-info
+/*dist

README.md

@@ -5,11 +5,11 @@ As summarized in this [issue](https://github.com/pytorch/pytorch/issues/22439),
 
 ### Usage
 
-- `pip install torchmetrics` or 
+- `pip install --upgrade torch_metrics` or 
 - `git clone https://github.com/chinokenochkan/torch-metrics`
 
 ```python
-from torchmetrics import RSquaredMetric
+from torch_metrics import RSquaredMetric
 ground_truth = torch.tensor([2., 41., 55., 65.])
 model_out = model(torch.tensor([1., 2., 3.]))
 r2 = RSquaredMetric(model_out, ground_truth)

setup.py

@@ -1,11 +1,11 @@
 from setuptools import setup, find_packages
 
 setup(
-    name="torchmetrics",
-    version="1.0.0",
+    name="torch_metrics",
+    version="1.0.1",
     description="Metrics for model evaluation in pytorch",
-    url="https://github.com/sksq96/pytorch-summary",
+    url="https://github.com/chinokenochkan/torch-metrics",
     author="Chi Nok Enoch Kan @chinokenochkan",
     author_email="[email protected]",
-    packages=["torchmetrics"],
+    packages=["torch_metrics"],
 )

torch_metrics/__init__.py

@@ -0,0 +1 @@
+from .torch_metrics import RSquaredMetric, MSEMetric, MAEMetric, corrcoef

torch_metrics/tests/func_testing.py

@@ -0,0 +1,5 @@
+from torch_metrics import RSquaredMetric
+import torch
+t1 = torch.tensor([1., 2., 3.])
+t2 = torch.tensor([1., 5., 25.])
+print(RSquaredMetric(t1, t2))

torchmetrics/torchmetrics.py renamed to torch_metrics/torch_metrics.py

@@ -1,8 +1,8 @@
 import torch
 
 def corrcoef(tensor1, tensor2):
-    xm = x.sub(torch.mean(tensor1))
-    ym = y.sub(torch.mean(tensor2))
+    xm = tensor1.sub(torch.mean(tensor1))
+    ym = tensor2.sub(torch.mean(tensor2))
     r_num = xm.dot(ym)
     r_den = torch.norm(xm, 2) * torch.norm(ym, 2)
     r_val = r_num / r_den