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super ultra working
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@ -348,17 +348,17 @@ def histo_analysis(hist_data):
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def regression(inputs, outputs, args): # inputs, outputs expects N-D array
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inputs = inputs[~np.isnan(inputs)]
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outputs = outputs[~np.isnan(outputs)]
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inputs = np.array(inputs)
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outputs = np.array(outputs)
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inputs = inputs[np.isfinite(inputs)]
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outputs = outputs[np.isfinite(outputs)]
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regressions = []
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if 'lin' in args: # formula: ax + b
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try:
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X = np.array(inputs)
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y = np.array(outputs)
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def func(x, a, b):
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return a * x + b
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@ -375,9 +375,6 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
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try:
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X = np.array(inputs)
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y = np.array(outputs)
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def func(x, a, b, c, d):
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return a * np.log(b*(x + c)) + d
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@ -392,10 +389,7 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
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if 'exp' in args: # formula: a e ^ (b(x + c)) + d
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try:
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X = np.array(inputs)
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y = np.array(outputs)
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try:
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def func(x, a, b, c, d):
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@ -411,8 +405,8 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
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if 'ply' in args: # formula: a + bx^1 + cx^2 + dx^3 + ...
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inputs = [inputs]
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outputs = [outputs]
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inputs = np.array([inputs])
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outputs = np.array([outputs])
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plys = []
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limit = len(outputs[0])
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@ -434,10 +428,7 @@ def regression(inputs, outputs, args): # inputs, outputs expects N-D array
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if 'sig' in args: # formula: a tanh (b(x + c)) + d
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try:
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X = np.array(inputs)
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y = np.array(outputs)
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try:
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def func(x, a, b, c, d):
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