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analysis.py v 1.1.12.006

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analysis pkg v 1.0.0.003
This commit is contained in:
ltcptgeneral
2020-03-04 21:20:00 -06:00
parent 0b1dd04216
commit db99028661
6 changed files with 32 additions and 16 deletions
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22
analysis-master/analysis/analysis.py
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@@ -7,10 +7,12 @@
# current benchmark of optimization: 1.33 times faster
# setup:
__version__ = "1.1.12.005"
__version__ = "1.1.12.006"
# changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog:
1.1.12.006:
- fixed bg with a division by zero in histo_analysis
1.1.12.005:
- fixed numba issues by removing numba from elo, glicko2 and trueskill
1.1.12.004:
@@ -323,13 +325,19 @@ def z_normalize(array, *args):
# expects 2d array of [x,y]
def histo_analysis(hist_data):
hist_data = np.array(hist_data)
derivative = np.array(len(hist_data) - 1, dtype = float)
t = np.diff(hist_data)
derivative = t[1] / t[0]
np.sort(derivative)
if(len(hist_data[0]) > 2):
return basic_stats(derivative)[0], basic_stats(derivative)[3]
hist_data = np.array(hist_data)
derivative = np.array(len(hist_data) - 1, dtype = float)
t = np.diff(hist_data)
derivative = t[1] / t[0]
np.sort(derivative)
return basic_stats(derivative)[0], basic_stats(derivative)[3]
else:
return None
def regression(ndevice, inputs, outputs, args, loss = torch.nn.MSELoss(), _iterations = 10000, lr = 0.01, _iterations_ply = 10000, lr_ply = 0.01): # inputs, outputs expects N-D array