visualization v 1.0.0.000, titanlearn v 2.0.1.001

data analysis/analysis/titanlearn.py

@@ -7,10 +7,13 @@
 #    this module learns from its mistakes far faster than 2022's captains
 # setup:
 
-__version__ = "2.0.1.000"
+__version__ = "2.0.1.001"
 
 #changelog should be viewed using print(analysis.__changelog__)
 __changelog__ = """changelog:
+2.0.1.001:
+    - removed matplotlib import
+    - removed graphloss()
 2.0.1.000:
     - added net, dataset, dataloader, and stdtrain template definitions
     - added graphloss function
@@ -36,7 +39,6 @@ __all__ = [
 
 import torch
 from os import system, name
-import matplotlib.pyplot as plt
 import numpy as np
 
 def clear(): 
@@ -114,9 +116,3 @@ def stdtrainer(net, criterion, optimizer, dataloader, epochs, batch_size):
     trainloader = dataloader
     
     return train(device, net, epochs, trainloader, optimizer, criterion)
-
-def graphloss(losses):
-
-    x = range(0, len(losses))
-    plt.plot(x, losses)
-    plt.show()

data analysis/analysis/visualization.py

@@ -0,0 +1,34 @@
+# Titan Robotics Team 2022: Visualization Module
+# Written by Arthur Lu & Jacob Levine
+# Notes:
+#    this should be imported as a python module using 'import visualization'
+#    this should be included in the local directory or environment variable
+#    fancy
+# setup:
+
+__version__ = "1.0.0.000"
+
+#changelog should be viewed using print(analysis.__changelog__)
+__changelog__ = """changelog:
+1.0.0.000:
+    - created visualization.py
+    - added graphloss()
+    - added imports
+"""
+
+__author__ = (
+    "Arthur Lu <arthurlu@ttic.edu>,"
+    "Jacob Levine <jlevine@ttic.edu>,"
+    )
+
+__all__ = [
+    'graphloss',
+    ]
+
+import matplotlib.pyplot as plt
+
+def graphloss(losses):
+
+    x = range(0, len(losses))
+    plt.plot(x, losses)
+    plt.show()