![]() Solution of an array element with a sequence in Sklearn Here is the Screenshot of the following given code This will display the result of a value error for an array element with the Sequence.The end element in the numpy array X is of length 1 whereas the other value has length2. In the above code, we will import a numpy library and sklearn.X = np.array(,, , ])Ĭlf = make_pipeline(StandardScaler(), SVC(gamma='auto')) Here is the code of value error setting an array element with a sequence import numpy as npįrom sklearn.pipeline import make_pipelineįrom sklearn.preprocessing import StandardScaler In this method, we can easily use the function SVC() and import the sklearn library.In machine learning models sometimes numpy array got a value error in the code.It features various algorithms like SVM, random forests, and k-neighbors, and it also generates Python numerical and scientific libraries like NumPy and SciPy. Scikit-learn is a free machine learning module for Python. ![]()
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