- #SETTING AN ARRAY ELEMENT WITH A SEQUENCE SKLEARN HOW TO#
- #SETTING AN ARRAY ELEMENT WITH A SEQUENCE SKLEARN CODE#
fit() and finish the data using PCA or scaler. If my data was ok, what i must do before, to make it possible to do some.
#SETTING AN ARRAY ELEMENT WITH A SEQUENCE SKLEARN HOW TO#
must I need change the data format or type or something? if yes, tell me must be like that, and how to be like that if possible. I have used the sklearn countvectorizer to create a bag of words but when I try to run it through an sklearn classifier it gives me the ValueError: setting an array element with a sequence. fit(): ValueError: setting an array element with a sequence. I am building a text classifier and I need some help. Projected = faces_pca.inverse_transform(components)Īnd the error below shown, right on I'm using. Scaler: from sklearn.preprocessing import StandardScaler X_train, X_test, train_label, test_label = train_test_split( X, y, test_size=0.4, random_state=0) The shape of my input x is (7165 x 529) and due to reshaping errors, I added an extra column with zeroes to make it (7165 x 530) and shape of y is (7165. I am trying to implement Quantum Kernel Ridge Regression (replacing the classical kernel with quantum kernel) in qiskit.
from sklearn.model_selection import train_test_split ValueError: setting an array element with a sequence for scikit learn.
The rest below is about how i do my data-split, PCA, and scaler. I want to used for scaler or PCA, but it give me some Error. You have this error because your data is not formatted correctly when you call the fit method.
#SETTING AN ARRAY ELEMENT WITH A SEQUENCE SKLEARN CODE#
Img = cv2.imread('dataset/LEFT/' + nameFolder + '/' + file )Īll that code above, still working fine. Note: The number of elements in each dimension of an array is known as its shape. library, and the NumPy array is not in sequence. arrays (sequence of arraylike) Each array must have the same shape. X = įor nameFolder in os.listdir('dataset/LEFT'):įor file in os.listdir('dataset/LEFT/' + nameFolder): The ValueError: setting an array element with a sequence occurs when: An array does not have a proper shape, i.e., a multidimensional array has improper dimensions at different levels. sklearn classes that could support it this should work with classes derived. trainingImages <9 trainingTargets <9 trainingImages.resetindex(inplaceTrue,dropTrue) trainingTargets.resetindex(inplaceTrue,dropTrue) classifier svm.SVC(gamma0.001) classifier.fit(trainingImages.
faces = pd.DataFrame()įile_name, file_extension = os.path.splitext(file)įace = pd.Series(img.flatten(),name=file)Īnd right after I populate the data, I do data-splitting for train and test. I always get this error 'ValueError: setting an array element with a sequence'. I'm on some project that involve image data reduction.Īnd i'm suppose to use this the load the data.
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