Questions tagged [time]
The time tag has no usage guidance.
8
questions
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11 views
Standard(s) for data representing measurement times with their interval of validity?
Is there a standard for representing the time interval of a measurement?
Any actual measurement is made at a point in time with, perhaps, an interval over which it is considered valid. For example, ...
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votes
1answer
21 views
Classification with feature not available at time of model creation
I have problem statement to predict the probability of solving a task depending on multiple features for e.g. when the task was created, the time needed to work on a task, etc Please find a dummy ...
2
votes
1answer
51 views
In survival analysis, which is the correct way to introduce a variable which changes the survival rate but occurs at different times?
I am making a survival analysis with a cox regression with proportional hazards, we want to analyze wheter the introduction of a phenomenon influences the time until the death of an individual.
A ...
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0answers
32 views
How to avoid bias when optimizing time-series model?
I have 4000 days of data. I am trying create a time-series model with parameters P to forecast the value of the target Y using the last N days of data. The parameters P include: lookback window for ...
0
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1answer
3k views
'list' object has no attribute 'values' when we are using append in python
Here I have a dataset with three inputs. Here I generated y value using append. After the append I got the output like this:
y.append(rec.iloc[0]['y'])
Then I ...
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0answers
42 views
Linear correlation and XGboost regression for time series
I am working with sales time-series data, I have a history of 9 years of monthly data. I am trying to forecast sales for the next 12 months. I am using XGboost regression to build multivariate time ...
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0answers
19 views
Any previous work to develop time series models for multiple label sets with different sampling rates
We have time series data with multiple labels: one label is sampled every day and the other label is added every one month and we would like to train the model accounting for both labels at the same ...
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11 views
LSTM based anomaly detection scheme too closely tracking long spans of anomalous points
I've built a time series anomaly detection process that accurately predicts the value at the next interval. However, when there are dozens of anomalous events in a row, the model starts to "catch up" ...
