I have X which is a 258×6 double and y which is a 258×1 double. These are used to fit a model utilizing fitlm. I found the quadratic to yield the best results.
X = outTableNumeric{:, corr_ids}; % Using the most correlated features
y = outTableNumeric.target; % Target variabel
% Fit a linear regression model
mdl = fitlm(X, y, "quadratic");
However when I try to derive a formula to be deployed outside matlab I find it extremely obscure how I’m to combine the quadratic terms with the coefficients and so on?

I tried to make the formula programmatically but that is not working when I test the result on some row of X.
coefficients = mdl.Coefficients.Estimate;
% Extract the simple notation of the formula
intercept = coefficients(1);
formula = sprintf(‘%.2f’, intercept);
for i = 2:length(coefficients)
if coefficients(i) ~= 0
feature_indices = find(strcmp(mdl.CoefficientNames, mdl.CoefficientNames{i}));
feature_name = mdl.CoefficientNames{feature_indices(1)};
formula = sprintf(‘%s + %.2f * %s’, formula, coefficients(i), feature_name);
end
end
strrep(formula,’:’,’*’);
disp(‘Simple notation of the formula:’);
disp(formula);
Can you please help me extract the full equation?I have X which is a 258×6 double and y which is a 258×1 double. These are used to fit a model utilizing fitlm. I found the quadratic to yield the best results.
X = outTableNumeric{:, corr_ids}; % Using the most correlated features
y = outTableNumeric.target; % Target variabel
% Fit a linear regression model
mdl = fitlm(X, y, "quadratic");
However when I try to derive a formula to be deployed outside matlab I find it extremely obscure how I’m to combine the quadratic terms with the coefficients and so on?

I tried to make the formula programmatically but that is not working when I test the result on some row of X.
coefficients = mdl.Coefficients.Estimate;
% Extract the simple notation of the formula
intercept = coefficients(1);
formula = sprintf(‘%.2f’, intercept);
for i = 2:length(coefficients)
if coefficients(i) ~= 0
feature_indices = find(strcmp(mdl.CoefficientNames, mdl.CoefficientNames{i}));
feature_name = mdl.CoefficientNames{feature_indices(1)};
formula = sprintf(‘%s + %.2f * %s’, formula, coefficients(i), feature_name);
end
end
strrep(formula,’:’,’*’);
disp(‘Simple notation of the formula:’);
disp(formula);
Can you please help me extract the full equation? I have X which is a 258×6 double and y which is a 258×1 double. These are used to fit a model utilizing fitlm. I found the quadratic to yield the best results.
X = outTableNumeric{:, corr_ids}; % Using the most correlated features
y = outTableNumeric.target; % Target variabel
% Fit a linear regression model
mdl = fitlm(X, y, "quadratic");
However when I try to derive a formula to be deployed outside matlab I find it extremely obscure how I’m to combine the quadratic terms with the coefficients and so on?

I tried to make the formula programmatically but that is not working when I test the result on some row of X.
coefficients = mdl.Coefficients.Estimate;
% Extract the simple notation of the formula
intercept = coefficients(1);
formula = sprintf(‘%.2f’, intercept);
for i = 2:length(coefficients)
if coefficients(i) ~= 0
feature_indices = find(strcmp(mdl.CoefficientNames, mdl.CoefficientNames{i}));
feature_name = mdl.CoefficientNames{feature_indices(1)};
formula = sprintf(‘%s + %.2f * %s’, formula, coefficients(i), feature_name);
end
end
strrep(formula,’:’,’*’);
disp(‘Simple notation of the formula:’);
disp(formula);
Can you please help me extract the full equation? #fitlm MATLAB Answers — New Questions

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