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fix: исправлен prediction
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@ -113,8 +113,7 @@ def linearPolynom(data):
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monomials = ['c'] + ['x' + str(i) for i in range(1, x.shape[1] + 1)]
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residualVariance = np.var(residuals, ddof=k)
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scaledResidualVariance = (residualVariance /
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np.mean(residuals) ** 2) if np.mean(residuals) != 0 else np.nan
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scaledResidualVariance = residualVariance / (n - k)
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paramsAndTStats = np.vstack((params, tStats)).T
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@ -163,9 +162,7 @@ def squaredPolynom(data):
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monomials = [monomial.replace(' ', '*') for monomial in monomials]
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residualVariance = np.var(residuals, ddof=k)
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scaledResidualVariance = (
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residualVariance / np.mean(residuals) ** 2
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) if np.mean(residuals) != 0 else np.nan
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scaledResidualVariance = residualVariance / (n - k)
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paramsAndTStats = np.vstack((params, tStats)).T
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@ -194,8 +191,12 @@ def prediction(inputData, result: RegressionResult):
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results = []
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numVars = inputs.shape[1]
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symbolsStr = ' '.join([f'x{i}' for i in range(1, numVars + 1)])
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symbols = sp.symbols(symbolsStr)
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for y, xValues in zip(outputs, inputs):
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subsDict = dict(zip(expr.free_symbols, xValues))
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subsDict = dict(zip(symbols, xValues))
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predictedResult = expr.subs(subsDict)
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difference = predictedResult - y
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