Questions tagged [time]
The time tag has no usage guidance.
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What is the most accurate way of computing the evaluation time of a neural network model?
I am training some neural networks in pytorch to use as an embedded surrogate model. Since I am testing various architectures, I want to compare the accuracy of each one, but I am also interested in ...
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References for relative/scaled time?
I have time-based (e.g., patient) data where some subjects (patients) were treated for a longer time than others. I want to analyze the treatment effects where observations are really noisy (so ...
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Dealing with varying predictive horizon
I know that the predictive horizon is the time window that runs from the observation of the data to the manifestation of the target variable.
But how can I deal with prediction if the time horizon ...
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Predicting Year-End Outcome from Monthly (and Annual) Data
I have data on customers' usage of various product features over time. Each month, a customer can choose to use a feature or not.
I want to create a live system that produces the probability of a user ...
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Integrating time context in a machine learning model
Basically, what I'm curious about, are there any methods in machine learning to make the model take into account events that happen in real time that affect the data points during that time period. ...
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What is exactly the input to a second lstm layer?
I am often confused about the lstm with more than one layer.
Imagine i have two lstm layer with 3 cells each layer.
What is exactly the input to the second lstm layer ?
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Day number as a feature in Linear regression
Goal - To train a Linear regression model for climatic studies.
Planned features: - Temperatures, Latitude, Longitude, Day Number (1st February = 32)
Would it be correct to include day number like ...
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Detect data (web textual content) age
This is a broad question and maybe does not have an answer but I will try.
I have been thinking of some techniques to detect the date of publication of public data in the wild of the internet. Without ...
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predict next purchase time of an item
I have a bunch of timestamps (purchase date from history), that looks like:
[1658753101, 1658760061, 1658824861, 1658846461, 1658853961, etc]
What I want is to based on that list predict next item ...
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Stimulate real time data
I had historical data collected by sensors and would like to create a web interface project where users could observe the life-stream analytics displayed on it. May I know which specific platform (ex: ...
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Why there is a gap when generating lags in time series?
I just started heading into time series forecasting, and a friend of mine who is doing this for several years showed me one of his projects. In his project, he was forecasting monthly sales quantity ...
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Convert minute duration (string) to float
I am trying to convert my time watched in a netflix show to a float so I can total it up. I cannot figure out how to convert it. I have tried many ways, including:
...
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parallel work on KNN in python
I have a question, related to parallel work on python
How I can use Processers =1,2,3... on k nearest neighbor algorithm when K=1, 2, 3,.. to find the change in time spent, speedup, and efficiency.
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Handling date and time fields for classification task
I'm working on a classification task(The dataset is 400,000 rows and 30 columns) and one of my features was date-time. I've extracted the month, day of the week, and hour from the dataset (year is a ...
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Add timestamp as a feature to model
I am working with time-series data and am interested in adding time-stamp data (as a feature) into the (DNN) model. From the things I have read online so far, my only option is to come up with my own ...
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