I have the following dataset for which I want to calculate several aggregation metrics> For some I'm using the standard functions, but for other ...

I have a dataframe. I would like to extract features based on a time window. Here, my time window is My goal is to extract the features on ...

I'm new using tsfresh, when I use the following lines, I get the extracted feature as desired import numpy as np import pandas as pd from tsfresh.fe ...

I am currently using the tsfresh package for a project (predictive maintenance). It is working really well and now I want to implement it live. Howev ...

I need some help for feature extraction in time series, maybe using the TSFRESH package. I have circa 5000 CSV files, and each one of them is a singl ...

How can I select top n features of time series using tsfresh? Can I decide the number of top features I want to extract? ...

I am using tsfresh in Python for a classification problem. The variable to predict can have 5 values (from 0 to 4). I am trying to use select_features ...

I am confused about tsfresh input format. Can I give a dataframe with missing values for different ids? For example, timeseries 1 {t0: 1, t2: 4, t5: 1 ...

Is there any way to get the N most relevant features in TSFRESH? Currently, the method extract_relevant_features has a parameter fdr_level, but for a ...

I have a list of lists where each list represents a time series : i want to extract feature from this dataset with tsfresh package using code: W ...

As raw data we have measurements m_{i,j}, measured every 30 seconds (i=0, 30, 60, 90,...720,..) for every subject j in the dataset. I wish use TSFRES ...

How do I solve the attribute error: The given column for the id is not present in the data when the column_id is 'ID' in the pandas dataframe used ...