From 1fa0fd6d7a282f718ac30214420c9c9386e01807 Mon Sep 17 00:00:00 2001
From: art <learthurgo@gmail.com>
Date: Tue, 7 Jan 2020 15:55:49 -0600
Subject: [PATCH] analysis.py v 1.1.11.009

---
 .../__pycache__/analysis.cpython-37.pyc       | Bin 32453 -> 32501 bytes
 data analysis/analysis/analysis.py            |   8 +++++++-
 2 files changed, 7 insertions(+), 1 deletion(-)

diff --git a/data analysis/analysis/__pycache__/analysis.cpython-37.pyc b/data analysis/analysis/__pycache__/analysis.cpython-37.pyc
index cf188fbbc9eb3b7ddc419c2e4df05168b9a8442d..103586c2435b3ab4b778dd05386ef2e875e3e820 100644
GIT binary patch
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diff --git a/data analysis/analysis/analysis.py b/data analysis/analysis/analysis.py
index 74d1407e..ca92cdb6 100644
--- a/data analysis/analysis/analysis.py	
+++ b/data analysis/analysis/analysis.py	
@@ -7,10 +7,12 @@
 #    current benchmark of optimization: 1.33 times faster
 # setup:
 
-__version__ = "1.1.11.008"
+__version__ = "1.1.11.009"
 
 # changelog should be viewed using print(analysis.__changelog__)
 __changelog__ = """changelog:
+    1.1.11.009:
+        - bug fixes
     1.1.11.008:
         - bug fixes
     1.1.11.007:
@@ -342,6 +344,10 @@ def regression(device, inputs, outputs, args, loss = torch.nn.MSELoss(), _iterat
 
         plys = []
 
+        if power_limit == None:
+
+            power_limit = len(outputs[0])
+
         for i in range(2, power_limit):
 
             model = Regression().SGDTrain(Regression.PolyRegKernel(len(inputs),i), torch.tensor(inputs).to(torch.float).to(device), torch.tensor(outputs).to(torch.float).to(device), iterations=_iterations_ply * 10 ** i, learning_rate=lr_ply * 10 ** -i, return_losses=True)