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I'm begginer in deep learning so I tried to execute a code of liveness face detection from github in this link :https://github.com/imironica/liveness , so when I tried...
Asked on 05/28/2021 by Abdelmalek Mallek
0 answerI want to extract each tree so that I can feed it with any data, and see the output.dump_list=xg_clas.get_booster().get_dump()num_t=len(dump_list)print("Number of Trees=",num_t)I can find number of trees like this,xgb.plot_tree(xg_clas,...
Asked on 05/28/2021 by J.Smith
1 answerI have monthly snapshots (3 years) of all the contract data. It includes following information:Contract status [Categorical]: Proposed, tracked, submitted, won, lost, etcContract stages [Categorical]: Prospecting, engaged, tracking, submitted, etc.Duration...
Asked on 05/28/2021 by RWS
2 answerI'm looking for a metric that can be used to quantify how imbalanced the labels are in a dataset. I'm not looking for a strategy to solve the imbalance problem,...
Asked on 05/28/2021
3 answerI am working on somr dataset and am implementing a deep neural network. There are some typos that I am...
Asked on 05/28/2021 by DarvinismExplained
2 answerI'm looking for a solution to detect different moods/styles expressed by an image. Unfortunately, there is no multi-labeled dataset for this task. The scenario of defining a multi-label classification...
Asked on 05/28/2021 by Neongelb
3 answerThere is a Dataset of 65 tuples.I want to Augment new Data from this set and validate my ANN on the original Data.Is there a possibility, that my...
Asked on 05/27/2021
1 answerI built a DecisionTreeClassifier with custom parameters to try to understand what happens modifying them and how the final model classifies the instances of the iris dataset. Now My task...
Asked on 05/27/2021
1 answerGiven some real-valued empirical data (time series), I could convert it to a histogram to have an (non-parametric) empirical distribution of the data, but histograms are blocky and jagged. Instead,...
Asked on 05/27/2021
1 answerI have used Stratified K fold for learning the model . Below is the python code:>def stratified_cv_v1(X, y, clf, shuffle=True, n=10,):> stratified_k_fold = StratifiedKFold(n_splits=n,shuffle=shuffle)> ...
Asked on 05/27/2021 by Saket123
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