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I'd like to make pipeline for optimizing Gpu and Cpu.Dataset It's about 10000 datapoint and 4 description variables for the regression problem.df = pd.read_csv("dataset")X_train, X_test,...
Asked on 12/29/2020 by AutomaKen
0 answerThe original HMM model looks only one element back (considers only previous state). Sometimes it viable to look two elements back. Is there an extension to HMM that allows that?...
Asked on 12/29/2020
2 answerI have two folders of hyperspectral data with five channels which are converted to numpy array. Each folder depicts the respective label. Example :dataset ----good_data ...
Asked on 12/29/2020 by Sangathamilan Ravichandran
0 answerWe monitor long running industrial engines and we have data series that we want to present on a line chart on a web page. For instance, we have sensors that...
Asked on 12/29/2020 by Leonel
1 answerI have scientific database with articles and coauthors.using this database I am training word2vec model on co-authors. Use use case here is to disambiguate authors. I was wondering my...
Asked on 12/29/2020 by Krishna Kalyan
0 answerI am building another XGBoost model and I'm really trying not to overfit the data. I split my data into train and test set and fit the model with early...
Asked on 12/29/2020 by Xaume
2 answerAfter applying PCA to reduce the number of features, I am using a DecisionTreeClassifier for a ML problem Additionally I want...
Asked on 12/29/2020 by Chris Tennant
1 answerI am fitting my data to a multivariate linear regression $Y = BX + Xi$, where the response is bivariate $Yin R^{ntimes 2}$, and the predictor is uni-variate...
Asked on 12/29/2020 by Jsevillamol
2 answerI have different samples with different sizes. The instances of each sample have different features in comparison to the instances from the other samples. For each sample i...
Asked on 12/29/2020 by Born New
1 answerIf I have a supervised learning system (for example for the MNIST dataset) I have features (pixel values of MNIST data) and labels (correct digit-value). However sometimes people use the...
Asked on 12/29/2020
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