![]() You should transform all of the values as numbers before passing to TSNE. ![]() Thanks in advance.Įdit: X_Train is very large. TSNE will break if you try to pass an array as one element. For optimize.curvefit, you also return an array. For the optimize.leastsq function, you need to let the objective function return an array i.e. Note: I have a feeling that something might be wrong while I convert the numpy array to string and then a string to a numpy array. This works for addition, subtraction, multiplication, division, and powers: array+1array2 ac, bd. The first column has the name of the Audio, second column has the feature array and the last element is the label, I don't see what made these errors. This is how each row in a CSV file looks like: "13_10 The Long And Winding Road " "" 0 ![]() I have calculated the features of audio files and wrote them into a CSV file. Is there any other way to solve this problem? Think.I have been working on scikit-learn SVMs for a binary classification problem. Why incrementing the loop by 2 help to reduce the total number of comparsion ? Why min and max are initialized differently for even and odd sized arrays? Time Complexity is O(n) and Space Complexity is O(1).įor each pair, there are a total of three comparisons, first among the elements of the pair and the other two with min and max. By convention, we assume ans as max and ans as min Solution The solution of this is straightforward if you need either you declare only floating numbers inside an array or if you want both, then make sure that you change the dtype as an object instead of float as shown below. We initialize both minimum and maximum element to the first element and then traverse the array, comparing each element and update minimum and maximum whenever necessary. Searching linearly: Increment the loop by 1 Searching linearly: Increment the loop by 1Ĭomparison in pairs: Increment the loop by 2ġ. You need to decrease the number of comparisons as much as you can. The bottleneck parameter in this problem is the number of comparisons that your algorithm requires to determine the maximum and the minimum element. The interviewer would not judge your algorithm for this question based on the time complexity as all solution has the time complexity of O(n). I read that this message can come from the fact my energy function Eunixial returns an array and not a scalar, but actually its a quite regular function : if you input a scalar, you get a scalar and if you input an array, you get an array. In this article, we’ll look at how to fix ValueError: setting an array element with a sequence with Python NumPy. ValueError: setting an array element with a sequence. No, they can be positive, negative, or zero)Īre the array element sorted ? (Ans: No, they can be in any order) Coding ApHow to fix ValueError: setting an array element with a sequence with Python NumPy by April R Sometimes, we want to fix ValueError: setting an array element with a sequence with Python NumPy. Possible follow-up questions to ask the interviewer :-Īre the array elements necessarily positive? ( Your algorithm should make the minimum number of comparisons. Given an array A of size n, you need to find the maximum and minimum element present in the array.
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