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analysis.py v 1.1.11.009

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art 2020-01-07 15:55:49 -06:00
parent 2e8ad61224
commit 1fa0fd6d7a
2 changed files with 7 additions and 1 deletions
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data analysis/analysis/__pycache__/analysis.cpython-37.pyc
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data analysis/analysis/analysis.py
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@ -7,10 +7,12 @@
# current benchmark of optimization: 1.33 times faster # current benchmark of optimization: 1.33 times faster
# setup: # setup:
__version__ = "1.1.11.008" __version__ = "1.1.11.009"
# changelog should be viewed using print(analysis.__changelog__) # changelog should be viewed using print(analysis.__changelog__)
__changelog__ = """changelog: __changelog__ = """changelog:
1.1.11.009:
- bug fixes
1.1.11.008: 1.1.11.008:
- bug fixes - bug fixes
1.1.11.007: 1.1.11.007:
@ -342,6 +344,10 @@ def regression(device, inputs, outputs, args, loss = torch.nn.MSELoss(), _iterat
plys = [] plys = []
if power_limit == None:
power_limit = len(outputs[0])
for i in range(2, power_limit): 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) 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)