From e488b4a4d13597849dce9b37fee436b45d0427fa Mon Sep 17 00:00:00 2001 From: art Date: Thu, 5 Mar 2020 12:44:09 -0600 Subject: [PATCH] analysis pkg v 1.0.0.005 --- analysis-master/analysis.egg-info/PKG-INFO | 2 +- .../build/lib/analysis/analysis.py | 91 ++++++++++++++---- .../dist/analysis-1.0.0.1-py3-none-any.whl | Bin 21572 -> 0 bytes analysis-master/dist/analysis-1.0.0.1.tar.gz | Bin 19214 -> 0 bytes .../dist/analysis-1.0.0.2-py3-none-any.whl | Bin 21602 -> 0 bytes analysis-master/dist/analysis-1.0.0.2.tar.gz | Bin 19240 -> 0 bytes .../dist/analysis-1.0.0.3-py3-none-any.whl | Bin 21654 -> 0 bytes analysis-master/dist/analysis-1.0.0.3.tar.gz | Bin 19294 -> 0 bytes analysis-master/dist/analysis-1.0.0.4.tar.gz | Bin 19498 -> 0 bytes ....whl => analysis-1.0.0.5-py3-none-any.whl} | Bin 21532 -> 21606 bytes analysis-master/dist/analysis-1.0.0.5.tar.gz | Bin 0 -> 19501 bytes analysis-master/setup.py | 2 +- data analysis/__pycache__/data.cpython-37.pyc | Bin 3403 -> 3415 bytes data analysis/config.csv | 10 +- 14 files changed, 80 insertions(+), 25 deletions(-) delete mode 100644 analysis-master/dist/analysis-1.0.0.1-py3-none-any.whl delete mode 100644 analysis-master/dist/analysis-1.0.0.1.tar.gz delete mode 100644 analysis-master/dist/analysis-1.0.0.2-py3-none-any.whl delete mode 100644 analysis-master/dist/analysis-1.0.0.2.tar.gz delete mode 100644 analysis-master/dist/analysis-1.0.0.3-py3-none-any.whl delete mode 100644 analysis-master/dist/analysis-1.0.0.3.tar.gz delete mode 100644 analysis-master/dist/analysis-1.0.0.4.tar.gz rename analysis-master/dist/{analysis-1.0.0.4-py3-none-any.whl => analysis-1.0.0.5-py3-none-any.whl} (53%) create mode 100644 analysis-master/dist/analysis-1.0.0.5.tar.gz diff --git a/analysis-master/analysis.egg-info/PKG-INFO b/analysis-master/analysis.egg-info/PKG-INFO index 7816a03b..8c5afbee 100644 --- a/analysis-master/analysis.egg-info/PKG-INFO +++ b/analysis-master/analysis.egg-info/PKG-INFO @@ -1,6 +1,6 @@ Metadata-Version: 2.1 Name: analysis -Version: 1.0.0.4 +Version: 1.0.0.5 Summary: analysis package developed by Titan Scouting for The Red Alliance Home-page: https://github.com/titanscout2022/tr2022-strategy Author: The Titan Scouting Team diff --git a/analysis-master/build/lib/analysis/analysis.py b/analysis-master/build/lib/analysis/analysis.py index 36e17a08..b73d37a3 100644 --- a/analysis-master/build/lib/analysis/analysis.py +++ b/analysis-master/build/lib/analysis/analysis.py @@ -7,10 +7,12 @@ # current benchmark of optimization: 1.33 times faster # setup: -__version__ = "1.1.12.006" +__version__ = "1.1.13.000" # changelog should be viewed using print(analysis.__changelog__) __changelog__ = """changelog: + 1.1.13.000: + - fixed all regressions to now properly work 1.1.12.006: - fixed bg with a division by zero in histo_analysis 1.1.12.005: @@ -268,6 +270,8 @@ import numba from numba import jit import numpy as np import math +import scipy +from scipy import * import sklearn from sklearn import * import torch @@ -346,24 +350,62 @@ def regression(ndevice, inputs, outputs, args, loss = torch.nn.MSELoss(), _itera if 'lin' in args: # formula: ax + b - model = Regression().SGDTrain(Regression.LinearRegKernel(len(inputs)), torch.tensor(inputs).to(torch.float).to(device), torch.tensor([outputs]).to(torch.float).to(device), iterations=_iterations, learning_rate=lr, return_losses=True) - params = model[0].parameters - params[:] = map(lambda x: x.item(), params) - regressions.append((params, model[1][::-1][0])) + try: + + X = np.array(inputs).reshape(-1,1) + y = np.array(outputs) + + model = sklearn.linear_model.LinearRegression().fit(X, y) + + ret = model.coef_.flatten().tolist() + ret.append(model.intercept_) + + regressions.append((ret, model.score(X,y))) + + except Exception as e: + + print(e) + pass if 'log' in args: # formula: a log (b(x + c)) + d - model = Regression().SGDTrain(Regression.LogRegKernel(len(inputs)), torch.tensor(inputs).to(torch.float).to(device), torch.tensor(outputs).to(torch.float).to(device), iterations=_iterations, learning_rate=lr, return_losses=True) - params = model[0].parameters - params[:] = map(lambda x: x.item(), params) - regressions.append((params, model[1][::-1][0])) + try: + + X = np.array(inputs) + y = np.array(outputs) + + def func(x, a, b, c, d): + + return a * np.log(b*(x + c)) + d + + popt, pcov = scipy.optimize.curve_fit(func, X, y) + + regressions.append((popt.flatten().tolist(), None)) + + except Exception as e: + + print(e) + pass if 'exp' in args: # formula: a e ^ (b(x + c)) + d - model = Regression().SGDTrain(Regression.ExpRegKernel(len(inputs)), torch.tensor(inputs).to(torch.float).to(device), torch.tensor(outputs).to(torch.float).to(device), iterations=_iterations, learning_rate=lr, return_losses=True) - params = model[0].parameters - params[:] = map(lambda x: x.item(), params) - regressions.append((params, model[1][::-1][0])) + try: + + X = np.array(inputs) + y = np.array(outputs) + + def func(x, a, b, c, d): + + return a * np.exp(b*(x + c)) + d + + popt, pcov = scipy.optimize.curve_fit(func, X, y) + + regressions.append((popt.flatten().tolist(), None)) + + except Exception as e: + + print(e) + pass if 'ply' in args: # formula: a + bx^1 + cx^2 + dx^3 + ... @@ -385,12 +427,25 @@ def regression(ndevice, inputs, outputs, args, loss = torch.nn.MSELoss(), _itera regressions.append(plys) - if 'sig' in args: # formula: a sig (b(x + c)) + d | sig() = 1/(1 + e ^ -x) + if 'sig' in args: # formula: a tanh (b(x + c)) + d - model = Regression().SGDTrain(Regression.SigmoidalRegKernelArthur(len(inputs)), torch.tensor(inputs).to(torch.float).to(device), torch.tensor(outputs).to(torch.float).to(device), iterations=_iterations, learning_rate=lr, return_losses=True) - params = model[0].parameters - params[:] = map(lambda x: x.item(), params) - regressions.append((params, model[1][::-1][0])) + try: + + X = np.array(inputs) + y = np.array(outputs) + + def func(x, a, b, c, d): + + return a * np.tanh(b*(x + c)) + d + + popt, pcov = scipy.optimize.curve_fit(func, X, y) + + regressions.append((popt.flatten().tolist(), None)) + + except Exception as e: + + print(e) + pass return regressions diff --git a/analysis-master/dist/analysis-1.0.0.1-py3-none-any.whl b/analysis-master/dist/analysis-1.0.0.1-py3-none-any.whl deleted file mode 100644 index d9d2a7e9cc56d4305f7a311389963eee5512c718..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 21572 zcmZ6xQ*bU^7c>~#wrwXTww)8(wv8v|iEZ1qZQHh;%==x;%s;a(cI{eKeYb0O_gbwe z0}6%)1Ox;Hgpz2Y_}>Kx9U=q*x=H;1Vg7IMf0%1N>%>itgk9a^-#&cxZN(Pxc(VgJw;Pw{i0q;Z6mJzb zhF3$ofdWa%K{zp|_cVzMzprOdAYi1Vqj3{=m3p0HVxheGGt3TLqBpuXV(UW^5A~V} z4w;NSNMw7!;`{lz=N-4*;a(KU%xz{B^iGmxYE-F04*0K%xh-v^fh(bpQmeWyzRxQ7 zFUFU8R#N32k7FYG-)r0T$P>KUy;VKn@RN$G2R4leqD?i^?MSxpOd^De&zB0iAo^z{ z7dbVXAmbX8p@!c>WI?e6cWR&s7!R_bF4+TK$wnkxSduR`ura`naMkHC@=X@e?WaRVY{T$RjJ<)m5Q( zwdq3++NehZW*#2cJVCa8ZaXa{<3;f%UGOB&53)!*(QUzLDwvf1c_WBldGp8jQi-=G 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