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Data Science : Recent Questions and Answers (Page 311)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

Sensorfusion: Generate virtual sensor based on analysis of sensorsdata

I have a steam engine which is equipped with the following sensors:temperature sensor in the boiler roomtemperature sensor in the heating roompressure sensor in the boiler roomrotations-per-minute-sensor which measures rpm...

Asked on 10/18/2020 by datasciencenewbie

1 answer

Multi-class classification with discrete output: Which loss function and activation to choose?

I'm working with a multi-class classification problem, using Keras Sequential models. In my dataset, the output class has one of the following values: (1, 2, 3, 4, 5). Yes, I...

Asked on 10/18/2020 by peterhunter

1 answer

Extension of NMF to 3D

AFAIK, Non-Negative Matrix Factorization (NMF) is the procedure of looking for matrices $A$ and $B$ such that $$Data_{ik} = sum_j A_{ij} B_{jk}$$ My data matrix is in...

Asked on 10/16/2020 by Aleksejs Fomins

1 answer

Bad results for training set and good results for test set

When training an algorithm, I have ROC = 0.5896, Sensitivity = 0.3333, and Specificity = 0.8375. When considering the test set, Sensitivity = 1 and Specificity = 1. This could...

Asked on 10/16/2020 by Fernanda

1 answer

Sequentially Training Certain Layers/Sub-Networks in Keras Functional API

Suppose we have a stacked neural network architecture with alayer that is to be shared between two "sub-networks". Example:from keras.layers import Input, Densefrom keras.models import Modelmain_input =...

Asked on 10/15/2020 by Adam

1 answer

keras predicts nan values

I implemented a Keras model for my all-integer dataset with values greater than or equal to 0. The train data has dimensions of (393, 108) and prediction data has (1821,...

Asked on 10/15/2020

1 answer

Is it possible to calculate gradient of a filter applied on the objects (that censor them)?

I want to find an optimal censoring function, that removes objects from a given set, as to maximise the set's quality. Suppose I am given a data set consisting of...

Asked on 10/15/2020 by Adam Ryczkowski

0 answer

When is it useful to measure the Frobenius norm of a matrix?

In Deep Learning section 2.5 the author review some measures for the size of vectors and matrices. When in general is it useful for someone to know these? For instance...

Asked on 10/15/2020 by nid

1 answer

How can I imporve accuracy for text classification and mapping using SVM?

I am working on a problem where I need to predict the text corresponding to another text in my training data file. For example: if I have value like the...

Asked on 10/15/2020 by user79322

1 answer

Seaborn Scatter plot

I have a dataset containing of only one column, using matplotlib I was able to do the scatter plot the following waydata = pd.read_csvplt.scatter(data.index,data.coulumn1)I want the same graph using...

Asked on 10/15/2020 by be1995

2 answer

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