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Python, R, MATLAB
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已回答
Save variables (vector) to a tabulated text file
A = randn(10, 1); B = randn(10, 1); tab = array2table([A, B], VariableNames=["A", "B"]); % as a table writetable(tab, "myt...
Save variables (vector) to a tabulated text file
A = randn(10, 1); B = randn(10, 1); tab = array2table([A, B], VariableNames=["A", "B"]); % as a table writetable(tab, "myt...
2 months 前 | 0
| 已接受
已回答
Swarmchart maximum diplay for shapley?
You can use NumImportantPredictors argument: swarmchart(explainer, NumImportantPredictors=11)
Swarmchart maximum diplay for shapley?
You can use NumImportantPredictors argument: swarmchart(explainer, NumImportantPredictors=11)
2 months 前 | 1
已回答
How does fsrftest calculate the p-value?
At the end of doc you can see it uses -log(p) to rank features, so there is no significance level here. And yes, it's same as AN...
How does fsrftest calculate the p-value?
At the end of doc you can see it uses -log(p) to rank features, so there is no significance level here. And yes, it's same as AN...
11 months 前 | 0
| 已接受
已回答
How to do linear fitting of data to get R square value and coeficient of a,b ?
n = 100; x = randn(n, 1); y = randn(n, 1); mdl = fitlm(x, y)
How to do linear fitting of data to get R square value and coeficient of a,b ?
n = 100; x = randn(n, 1); y = randn(n, 1); mdl = fitlm(x, y)
12 months 前 | 0
已回答
Adding String to end of an Matrix
wordlist = strings(3, 1); for n = 1:3 wordlist(n) = input("Word: ","s"); end
Adding String to end of an Matrix
wordlist = strings(3, 1); for n = 1:3 wordlist(n) = input("Word: ","s"); end
12 months 前 | 0
| 已接受
已回答
Applying SHAP on a Reinforcement Learning Algorithm
Document and refs are clear enough if you're aware enough what your intentions are. Follow this example if you're interested to ...
Applying SHAP on a Reinforcement Learning Algorithm
Document and refs are clear enough if you're aware enough what your intentions are. Follow this example if you're interested to ...
12 months 前 | 0
已回答
Importance of predictors within an Optimizable GPR model
It's almost always good to look at both local and global levels. In case of lime or SHAP, you can calculate on a random subset o...
Importance of predictors within an Optimizable GPR model
It's almost always good to look at both local and global levels. In case of lime or SHAP, you can calculate on a random subset o...
1 year 前 | 0
| 已接受
已回答
Linear and Logistic Regressions to control for a possible confouding variable
whether or not should you adjust for some covariates in your model heavily depends on your understaind of the matter you study. ...
Linear and Logistic Regressions to control for a possible confouding variable
whether or not should you adjust for some covariates in your model heavily depends on your understaind of the matter you study. ...
1 year 前 | 0
已回答
a philosophical question regarding function (how many tasks should be wrapped inside a function?)
Assuming you're gonna stick with those variable names, you can do somethig like this: T1 = array2table(["matlab 101"; "C++ 20...
a philosophical question regarding function (how many tasks should be wrapped inside a function?)
Assuming you're gonna stick with those variable names, you can do somethig like this: T1 = array2table(["matlab 101"; "C++ 20...
1 year 前 | 0
| 已接受
已回答
.MAT file with multiple tabs/sheets
you can do something like this, and write each sheet to fields of a structure: snames = sheetnames("myfile.xlsx"); out = s...
.MAT file with multiple tabs/sheets
you can do something like this, and write each sheet to fields of a structure: snames = sheetnames("myfile.xlsx"); out = s...
1 year 前 | 1
已回答
Why does meanEffectSize() use sqrt((varX + varY)/2) for the paired cohensD calculation?
I assume you mean (check more flavors in this paper): x = [10 12 15 8 11]; y = [14 18 16 12 13]; d = mean(x-y)/std(x-y) ...
Why does meanEffectSize() use sqrt((varX + varY)/2) for the paired cohensD calculation?
I assume you mean (check more flavors in this paper): x = [10 12 15 8 11]; y = [14 18 16 12 13]; d = mean(x-y)/std(x-y) ...
1 year 前 | 1
| 已接受
已回答
Multioutput Regression models in MATLAB
I'm not aware of such a function in MATLAB, but you can loop over your target/response variables, and each time fit a new model....
Multioutput Regression models in MATLAB
I'm not aware of such a function in MATLAB, but you can loop over your target/response variables, and each time fit a new model....
1 year 前 | 0
| 已接受
已回答
How to cluster data in a boxplot?
what about this? data = load("data.mat").data; % just a personal preference: strings are easier to work with cellCols = v...
How to cluster data in a boxplot?
what about this? data = load("data.mat").data; % just a personal preference: strings are easier to work with cellCols = v...
1 year 前 | 0
| 已接受
已回答
How to force enable GPU usage in fitrgp
fitrgp does not [yet] support GPU arrays. You can easily scroll down the doc page and check "Extended Capabilities" for each fun...
How to force enable GPU usage in fitrgp
fitrgp does not [yet] support GPU arrays. You can easily scroll down the doc page and check "Extended Capabilities" for each fun...
1 year 前 | 0
| 已接受
已回答
Struggling to lay 2D points over a 3D scatter plot
what about hold on? hold on voc = [125, 45, 0; 140, 39, 0]; scatter3(voc(:, 1), voc(:, 2), voc(:, 3), "*") % or plot3
Struggling to lay 2D points over a 3D scatter plot
what about hold on? hold on voc = [125, 45, 0; 140, 39, 0]; scatter3(voc(:, 1), voc(:, 2), voc(:, 3), "*") % or plot3
1 year 前 | 0
| 已接受
已回答
how to count uncommented ligns in matlab file?
% doc readlines % lines = readlines("myfunc.m"); lines = [" % comment 1" "dummy = 1 + 3;" " " "%{" "th...
how to count uncommented ligns in matlab file?
% doc readlines % lines = readlines("myfunc.m"); lines = [" % comment 1" "dummy = 1 + 3;" " " "%{" "th...
1 year 前 | 2
| 已接受
已回答
Right measure for logistic regression of imbalance data and dealing with Complete Separation
It's probably a bit late for your original problem, but since it's an important question and MATLAB still lacks such important f...
Right measure for logistic regression of imbalance data and dealing with Complete Separation
It's probably a bit late for your original problem, but since it's an important question and MATLAB still lacks such important f...
2 years 前 | 0
已提交
bfilereader
bfilereader: Efficient processing of big delimited files in MATLAB
2 years 前 | 1 次下载 |
已回答
How to get the sum of squares in GLM model summary ?
You can get SST, SSE and SSR: mdl = fitglm(rand(100, 2), randi([0 1], 100, 1), 'dist', 'binomial', 'link', 'logit'); mdl.SSE...
How to get the sum of squares in GLM model summary ?
You can get SST, SSE and SSR: mdl = fitglm(rand(100, 2), randi([0 1], 100, 1), 'dist', 'binomial', 'link', 'logit'); mdl.SSE...
2 years 前 | 0
| 已接受
提问
tall array within a parfor?
Consider the following scenario: ds = datastore(...); dst = tall(ds); parfor ... % warning here: dst is a broadca...
2 years 前 | 1 个回答 | 0
1
个回答已回答
Sort cell numbers ?
If by sort, you mean sort within each element of cell array: G = {[-83;-84] [-65] [-50;-47] [-33;-30] [-26;-22] [-16;-15] [-6; ...
Sort cell numbers ?
If by sort, you mean sort within each element of cell array: G = {[-83;-84] [-65] [-50;-47] [-33;-30] [-26;-22] [-16;-15] [-6; ...
2 years 前 | 0
已回答
Using movmean to calculate mean of first and last element in array
What about this? a = [1 5 8 10]; ma = movmean([a, a(1)], [0 1], 'Endpoints', 'discard')
Using movmean to calculate mean of first and last element in array
What about this? a = [1 5 8 10]; ma = movmean([a, a(1)], [0 1], 'Endpoints', 'discard')
2 years 前 | 0
| 已接受
已回答
exportgraphics dynamic file name
% A = {'name1', ...} for k = 1:16 %rest of the code c = colorbar; c.Label.String = A{k}; ...
exportgraphics dynamic file name
% A = {'name1', ...} for k = 1:16 %rest of the code c = colorbar; c.Label.String = A{k}; ...
2 years 前 | 1
| 已接受
已回答
stepwiseglm model seems to be missing parameters?
It does include both. You should mind the model formula in MATLAB (AKA Wilkinson Notation): x1*x2 is x1 + x2 + x1:x2. See also...
stepwiseglm model seems to be missing parameters?
It does include both. You should mind the model formula in MATLAB (AKA Wilkinson Notation): x1*x2 is x1 + x2 + x1:x2. See also...
2 years 前 | 0
| 已接受
已回答
Create a double identity matrix matlab
Maybe not the best way, but works: % taken from doc kron n = 12; I = speye(n, n); E = sparse(2:n, 1:n-1, 1, n, n); K = fu...
Create a double identity matrix matlab
Maybe not the best way, but works: % taken from doc kron n = 12; I = speye(n, n); E = sparse(2:n, 1:n-1, 1, n, n); K = fu...
2 years 前 | 0
已回答
Vector dimesions are different before encoding json and after decoding json
How about this? mystr.f1 = 1:4; mystr.f2 = (1:4).'; js = jsonencode(mystr); newstr = jsondecode(js) fnames = fieldnames...
Vector dimesions are different before encoding json and after decoding json
How about this? mystr.f1 = 1:4; mystr.f2 = (1:4).'; js = jsonencode(mystr); newstr = jsondecode(js) fnames = fieldnames...
2 years 前 | 0
| 已接受
已回答
How do I match an annotations.json file with their respective images from an image folder?
Try this js = jsondecode(fileread("annotations.json.txt")) % file extension was changed only for upload % get info of first ...
How do I match an annotations.json file with their respective images from an image folder?
Try this js = jsondecode(fileread("annotations.json.txt")) % file extension was changed only for upload % get info of first ...
2 years 前 | 0
已回答
How to add to Matlab a path with a @Folder
See here www.mathworks.com/matlabcentral/answers/1659190-why-addpath-is-not-working?
How to add to Matlab a path with a @Folder
See here www.mathworks.com/matlabcentral/answers/1659190-why-addpath-is-not-working?
2 years 前 | 2
| 已接受
已回答
Can MATLAB save the Profiler results table (Function Name, Calls, etc.) to a text file or a spreadsheet?
info = load("info.mat").info; infotab = struct2table(info.FunctionTable); infotabMain = infotab(:, ["FunctionName", "NumCalls"...
Can MATLAB save the Profiler results table (Function Name, Calls, etc.) to a text file or a spreadsheet?
info = load("info.mat").info; infotab = struct2table(info.FunctionTable); infotabMain = infotab(:, ["FunctionName", "NumCalls"...
2 years 前 | 0
| 已接受
已回答
Estimate p-values of fitted parameters using armax from sysid toolbox
armax returns parameters and their uncertainties; then you can calculate the p-values. load iddata9 z9 na = 4; nc = 1; sys ...
Estimate p-values of fitted parameters using armax from sysid toolbox
armax returns parameters and their uncertainties; then you can calculate the p-values. load iddata9 z9 na = 4; nc = 1; sys ...
2 years 前 | 0
| 已接受
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