classification

predict_proba method available in OneVsRestClassifier Question: I am using sklearn‘s OneVsOneClassifier in an pipeline like so: smt = SMOTE(random_state=42) base_model = LogisticRegression() pipeline = Pipeline([(‘sampler’, smt), (‘model’, base_model)]) classifier = OneVsOneClassifier(estimator=pipeline) classifier.fit(X_train, y_train) # prediction yhat = classifier.predict(X_test) But then I cannot do: yhat_prob = predict_proba(X_test) AttributeError: ‘OneVsOneClassifier’ object has no attribute ‘predict_proba’ scikit-learns OneVsRestClassifier …

I got attribute error while doing convolution Question: I was trying to test my model for making a convolution using MNIST data keep_prob=1.0 ActivatedUnits = convolve1(sampleimage) filters = ActivatedUnits.shape[3] plt.figure(1, figsize=(20,20)) n_columns = 6 n_rows = np.math.ceil(filters / n_columns) + 1 for i in range(filters): plt.subplot(n_rows, n_columns, i+1) plt.title(‘Filter ‘ + str(i)) plt.imshow(ActivatedUnits[0,:,:,i], interpolation="nearest", cmap="gray") …

What it means when your model can't overfit a small batch of data? Question: I am trying to train RNN model to classify sentences into 4 classes, but it doesn’t seem to work. I tried to overfit 4 examples (blue line) which worked, but even as little as 8 examples (red line) is not working, …

How to process files in FastAPI from multiple clients without saving the files to disk Question: I am using FastAPI to create an API that receives small audio files from a mobile app. In this API I do processing of the signal and I am able to return a response after classifying that sound. The …

For a binary classification, how can I sample data by column so that 2/3 of the data contains zeros and 1/3 contains ones? Question: I have a large dataset containing four columns and the third column contains the binary label (a value either 0 or 1). This dataset is imbalanced – it contains much more …

Compute class weight function issue in 'sklearn' library when used in 'Keras' classification (Python 3.8, only in VS code) Question: The classifier script I wrote is working fine and recently added weight balancing to the fitting. Since I added the weight estimate function using ‘sklearn’ library I get the following error : compute_class_weight() takes 1 …

How the probabilities are normalized in one-vs-rest scheme of sklearn Logistic Regression? Question: In the sklearn LogisticRegression classifer, we can set the muti_class option to ovr which stands for one-vs-rest, as in the following code snippet: # logistic regression for multi-class classification using built-in one-vs-rest from sklearn.datasets import make_classification from sklearn.linear_model import LogisticRegression # define …

Error in Writing Video with OpenCV for Video Classification Question: I am building a video classification model same as in this video: https://www.youtube.com/watch?v=l8XQsxlGxiY&list=PLxefhmF0pcPl_v-lLsqF3drP6NOoSYJR0&index=9 The model predicts which sport is being shown in the video: Tennis, swimming or Boxing. I already built my model and has a 96% accuracy. Now, I have a sample video to …

Scaling the sigmoid output Question: I am training a Network on images for binary classification. The input images are normalized to have pixel values in the range[0,1]. Also, the weight matrices are initialized from a normal distribution. However, the output from my last Dense layer with sigmoid activation yields values with a very minute difference …

How to balance images in folder by doing augmentation such that number of images in this folder are equal to number of images in other folder? Question: I have 5 folders named as class_i each folder has the i class images. the images are with .jpg format. How can I balance the images in each …