Questions tagged [time-series]
Time series are data observed over time (either in continuous time or at discrete time periods).
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Implementing pytorch temporal fusion transformer on time series
I am trying to run the temporal fusion transformer from the pytorch package. I am trying to compare the output on like terms to the tensorflow output in this paper p. 15 https://arxiv.org/pdf/1912....
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Using LSTMs for Predicting Targets with Known Feature Vector
I am trying to use an LSTM to predict the consecutive "offset" calibration values for an instrument. These offset values have previously been shown to be well correlated with a pair of ...
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Can I utilise time series properties of the data, WITHOUT creating lags?
I am working on a project where the train and test sets are given to me. The data (stock returns) is time series by nature, but the point is that I cannot create lags because that would mean ...
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Unexplainable noise in STL of clean, seasonal data
I am encountering unexplained noise in the residual component after STL decomposition.
I use this dataset taken from NAB's benchmark. It is a periodic (daily) timeseries, with no noise or anomalies.
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How to Predict Remaining Lifetime or Replacement Probability of Machine Parts?
I am diluting and abstracting away some details to protect the client, but the basic idea like this.
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An authorised vehicle service centre run by a company, something like Audi, where vehicles ...
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Is it legit to normalize time series with respect to the x-axis?
I have a data set consisting of multivariate time series, e.g. a batch of my data has the shape (batch_size, timesteps, number_input_features) and I want to train a neural network on it to predict ...
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Change point detection in a timeseries
I have a few questions about using the PELT algorithm for change point detection in the ruptures library.
Optimal Penalty Value for PELT Algorithm
I'm using the Pruned Exact Linear Time (PELT) ...
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Identifying Underperforming Movies Using Bayesian Metrics or Time Series Approach?
I have two years' worth of movie rental sales data.
I'm interested in identifying underperforming movies based on these variables. So far, I'm considering creating a Bayesian product metric that will ...
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Time series modeling tips
I'm currently building a pricing time series model for a category in produce and I have some questions. This is my first time building a forecasting model at my job and I've hit a few road bumps.
The ...
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Implementation of CNN-LSTM for multivaraite time series forecasting
I have recently completed the course on TimeSeries from Coursera - Deeplearning AI, and was trying to replicate the results of an open-access research paper (...
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Can Transformers predict periodic time series data?
I want to use Transformers to predict a noise-free periodic 2D signal $f(t)$. The signal has a period of $T=10$, and since there is no noise, future predictions can be made perfectly from the past 5 ...
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Is this recursive forecasting right for timeseries analysis?
Training a model just to make a quick prototype
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How to predict Future CPU Usage in Time Series reusing your already trained model?
I'm currently working on a time series problem where I need to predict future CPU usage. I have historical data consisting of CPU usage along with features like hour, day of week, and month. However, ...
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Conv2d with time series
I have a question about how a CONV2D layer handles time series data.
How with filters that scroll through time, our model can extract features and capture and model our target value?
Thank you in ...
