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I would like to apply a MLP to some business seller data. I found that the data is a mix of both categorical and continuous features. For what I read...
Asked on 02/23/2021
2 answerI am trying to figure out whether I have a host of metrics available to monitor out of the box while writing callbacks such asModelCheckpoint(monitor='val_loss')or ModelCheckpoint(monitor='val_accuracy')or whether the metrics...
Asked on 02/23/2021 by Kamal Raydan
0 answerFor times series analysis and forecasting, we try to make the times series stationary before proceeding with the experiment. I would like to know if such a procedure is necessary...
Asked on 02/23/2021
1 answerI have a binary classifier that I would like to evaluate the performance of. It's been both trained and tested on a data set where the ratio of true to...
Asked on 02/23/2021 by Mikkel bruun
2 answerI'm trying to use GridSearchCV in a regression with a Keras neural network.The data I'm using is the Boston Housing Price dataset, which was loaded directly from keras boston_housing.load_data()....
Asked on 02/23/2021
0 answerI am building an autoencoder with help from this site. There I was trying to build an autoencoder for my own custom data. My images are stored...
Asked on 02/23/2021 by neel g
1 answerI'm using scikitlearn in Python to create some models while trying different kernels. I was surprised to see that rbf was fit in under a second, whereas linear took a...
Asked on 02/23/2021 by sonnv
1 answerI am trying to implement a quantile regression forest (https://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf). But, I have some difficulties to understand how the quantiles are computed. I will try to summarize...
Asked on 02/23/2021 by kakarotto
1 answerI am forecasting demand for certain types of goods and services, which I expect to be correlated to a sub-set of a basket of macroeconomic indicators (considering 15-20 indicators) I...
Asked on 02/23/2021 by Apple_786
1 answerI am building CNN and SVM models which take in MFCC features as input. The MFCC matrices shape is (13, n). The 13 rows are coefficients and n columns represent...
Asked on 02/23/2021
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