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how can the code be runnable for dataframe of column size 18260? #50

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Shubhamsg17 opened this issue Apr 12, 2023 · 4 comments
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@Shubhamsg17
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Shubhamsg17 commented Apr 12, 2023

2023-04-12 17:47:26,636 | WARNING : Not all samples have same length: maximum length set to 18260
2023-04-12 17:47:28,605 | INFO : 1212 samples may be used for training
2023-04-12 17:47:28,605 | INFO : 304 samples will be used for validation
2023-04-12 17:47:28,605 | INFO : 0 samples will be used for testing

2023-04-12 17:53:36,348 | INFO : Total number of parameters: 3656002
2023-04-12 17:53:36,348 | INFO : Trainable parameters: 3656002

@gzerveas
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Hi, it's not clear to me what you are trying to achieve. Does your time series really have 18260 features/variables per time step?

@Shubhamsg17
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Currently i have dataset with single variant time series with dataframe size of 9000 columns..so when i run the same code using this datset im getting error..how should i make changes to make it work

@gzerveas gzerveas changed the title how can the code be runnable for dataframe of column size 18260?? While running the command its execution gets interrupted. how can the code be runnable for dataframe of column size 18260? Apr 18, 2023
@gzerveas
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gzerveas commented Apr 18, 2023

Ok, so what do the columns represent? From what I understand, you have a dataset where a single training example is a time series of a single variable and length 18260? Do you have multiple training examples, or your entire dataset is a single long time series?

@Shubhamsg17
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Its Single varient time series of length 9000

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