can't classify the inputs of an formula by output.(celcius-fahrenheit) Question: I am learning deep learning for a while by myself. However, I try to build a classification model in pytorch. The input and output can be taken from formula of celcius-fahrenheit. C = (F-32)/1.8 The inputs are value of fahrenheit and the outputs are classified …
SKLearn & ElasticNet: Cross validation fails when using Accuracy as a metric Question: I have a binary classification problem. I’ve been using cross validation to optimize the ElasticNet parameters. However ElasticNet only seems to work when I supply roc_auc as the scoring method to be used during CV, However I also want to test out …
High accuracy training but low accuracy test/prediction Question: I am using CNN to classify apple type. I achieved high accuracy on train data but really low accuracy on test data. Data is split into 80:20. I am not sure if my data is overfitting or not. I have 2 folders that contain TraningData and TestData, …
generating multi classifier training data from document Question: I am looking for guidance to generate multiple classifier training data from document. e.g. if particular document has three sections with each 10 pages in each sections. (total 30 pages) I am looking for open source library, where I can pass on document (explicitly specifying section 1, …
Python library for dot product classification Question: I have the following python pyseudo-code: A1 = "101000001111" A2 = "110000010101" B2 = "000111010000" B2 = "000110100000" # TODO get X = [x1, x2, …, x12] assert(A1 * X > .5) assert(A2 * X > .5) assert(B1 * X < .5) assert(B2 * X < .5) So …
Assign class to a sample in Python Question: I need to create a function that will compare a sample from a list (unknown_dataset) to two other datasets (red_dataset and blue_dataset) to find the shortest distance on then classify the sample. So far I have fucntions to calculate distance #function to calculate all distances def calculate_distance(p1, …
Why does my neural network perform different on the same images during training and testing? Question: I use tensorflow to build a neural network that classifies images of covid-19 rapid tests into three classes (Negative, Positive, Empty). During training the tensorboard logs denote a validation accuracy of around 90%. But when I test the network …
IMPORT ERROR when importing from sklearn.ensemble? Question: I received an import error when importing the HistGradientBooostingClassifier from sklearn.ensemble I typed in jupyter notebook: ‘from sklearn.ensemble import HistGradientBoostingClassifier’ . Asked By: Augustine Williams || Source Answers: The first result from a (US) Google search for ImportError from sklearn.ensemble import HistGradientBoostingClassifier is this issue from the scikit-learn …
Find out the sum of the null values for an attributes depending upon class values in pandas Question: The dataset looks like class subject computer_buy(class) Junior Science Yes Sophomore Science Yes Senior Economics No Junior ? No Senior Arts No Suppose the name of the dataset is toy_data. I want to know the how many …
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 …
