Questions tagged [time]

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LSTM for time series forcasting

I manipulate the time series using the different structures of the neural networks in order to make a prediction, and I wonder if there is a way to choose the parameters of the networks intelligently? ...
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14 views

Modeling count data with time-dependent rate

For processes of discrete events occurring in continuous time with time-independent rate, we can use count models like Poisson or Negative Binomial. For discrete events that can occur once per sample ...
1
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1answer
26 views

Appropriate Machine Learning algorithm for modeling clustered time-varying binary outcome

I'll just dive right in. I have a decent-size (100K observations) dataset of time-varying continuous and categorical predictors. Categorical predictors, actually, usually do not change, however, ...
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0answers
89 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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1answer
7 views

What is best practice to feature engineer from prior event counts?

Say for example I am building a model to predict a customer churn event from Spotify, with my target being whether a customer churns in the next 90 days. One feature I might expect could be predictive ...
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8 views

Weird pattern appearing in data?

I’m using a histogram to analyze coincidences across three sets of data. The three sets of data are timestamps from three instruments. To identify coincidences, I start by pairing each time stamp in ...
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31 views

Expected value based on periodical interval measurements

Suppose you want to measure a process that goes on/off every 100ms +- rand 3000ms. Your tools can do probes ones in >=1500ms. ...
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1answer
16 views

Get the average time between 1st and 2nd call (postgresql)

I have the following data in a table where I want to calculate the average time between 1st and 2nd call. I know how to get the average, but I have a tough time figuring out how to subtract the 2nd ...
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18 views

Python Pandas, how to select cases for which timestamps should be rounded?

I need to only select the cases for sensor type == air to be rounded to the nearest 5 seconds but do not how I should use a function to make this happen. I do have the following lines: ...
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9 views

Tool for annotating video gestures

I'm looking for a tool for annotating gestures in a video. There are tons of tools for tracking objects in videos, but all I want to do is annotate when gestures start and end in a video, not where ...
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14 views

Help reviewing time series concepts for flashcards

Next week I'm going to have a test reviewing time series. Our professor gave us about 100 true/false questions to review as a basis for creating flash cards. There are a few I have questions about ...
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14 views

Machine learning time intervall partition?

So I knew the basics of the ML, and now I would like to solve a task, but unfortunately I don't know how to approach, and what kind of algorithm should I looking for. I try to write the problem: The ...
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19 views

Is there any know algorithm or technique to detect IOT clock anomaly

I have some IOT machine in place and a user have to present a NFC card on it when using one of this machine. When the machine is detecting the card it send an event to a backoffice system with the ...
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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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1answer
25 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 ...
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47 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 ...