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Data Science : Recent Questions and Answers (Page 36)

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

How do we know a neural network test accuracy is good enough when results vary with different runs?

In every paper I read about prediction models, the training accuracy and the test accuracy (sometimes also the validation accuracy) is stated as a discrete number. However, in experience, depending...

Asked on 09/04/2021

1 answer

Displaying date in SAS

I am trying to display a date in my result after running the below program in SAS. It runs properly but in the sas data table under DOB column I...

Asked on 09/04/2021 by Girish Arora

2 answer

extract document topic vectors from lda model

how can I extract document-topic matrix from LDA model and use it as input features an svm classifier? I am using gensim for implementation ...

Asked on 09/04/2021 by Syrinebh

1 answer

pytorch convolution with 0-stride along one dimension

For some square images, I'd like to use torch.nn.Conv2d with the kernel as a vertical block. As in, the kernel size is defined as max value of the first dimension...

Asked on 09/04/2021 by Aaron Elliot

1 answer

multi-state lstm for time series forecasting

I have 100's of distinct users and the dataset consists work/hours spent by each user over the past 1 year. Total records are over 40k. The inputs for the LSTM...

Asked on 09/03/2021

0 answer

Should I scale high ranging ordinal fields?

In the left column, I have an ordinal integer field.In the right column, I have a scaled float feature. Should I scale the ordinal field since it is getting...

Asked on 09/03/2021

1 answer

Python: advice on which machine learning algorithm to use for a problem which involves lots of randomness

I'm new to machine learning so I'll summarize my problem with two examples without getting technical (because I can't). The dog vs. cat classification example is solvable, in the sense...

Asked on 09/03/2021

2 answer

Why non-differentiable regularization lead to setting coefficients to 0?

The L2 regularization lead to minimize the values in the vector parameter.The L1 regularization lead to setting some coefficients to 0 in the vector parameter. More generally, I've seen...

Asked on 09/03/2021 by asnart

1 answer

Data with similar mean, min and max across all columns. What could I do to build a classifier

I have a data with the following columns col1 col2 col3 ...

Asked on 09/03/2021 by funkyFunk

2 answer

Closed Domain Question Answering which doesn't answer Questions

I've been exploring Closed Domain Question Answering Implementations which have been trained on SQuAD 2.0 dataset. Ideally, it should not answer questions which the context text corpus doesn't contain answers...

Asked on 09/03/2021 by Anirban Saha

1 answer

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