Questions tagged [time]
The time tag has no usage guidance.
18
questions
3
votes
1answer
20 views
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? ...
1
vote
1answer
49 views
Date and time extraction from Excel file in Python or Pandas
I have an Excel file with a column that contain both date and time in a single cells as follows:
2020-07-10T13:32:01+00:00
I'm wondering how to extract this cell, split date and time (that are ...
1
vote
1answer
24 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, ...
0
votes
0answers
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.
...
0
votes
0answers
11 views
Get the average time between first and 2nd call (postgresql)
I have the following data in 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 though time to figure out how to subtract the 2nd ...
0
votes
0answers
17 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:
...
0
votes
0answers
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 ...
0
votes
0answers
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 ...
1
vote
1answer
28 views
Help improving my “read_excel” execution time in python. My code reads slowly
My first question here so please bare with me.
I'm trying to feed my neural network with training data read in from an excel file. It works perfectly fine when i have less than 50 rows in the sheet. ...
0
votes
0answers
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 ...
0
votes
0answers
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 ...
0
votes
0answers
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, ...
0
votes
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 ...
2
votes
1answer
67 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 ...
1
vote
0answers
44 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
votes
1answer
11k 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 ...
1
vote
0answers
86 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 ...
0
votes
0answers
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" ...
