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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 ...
HWIK's user avatar
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1 answer
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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 ...
sds's user avatar
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1 answer
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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 ...
Marco Ballerini's user avatar
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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 ...
pyassign67's user avatar
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1 answer
29 views

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. ...
Maxim Chopivskyy's user avatar
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1 answer
98 views

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 ?
heyoka955's user avatar
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1 answer
76 views

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 ...
Pixel_Bear's user avatar
1 vote
1 answer
30 views

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 ...
bacloud14's user avatar
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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 ...
Dr1m's user avatar
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27 views

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: ...
Kusisi Karem's user avatar
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1 answer
116 views

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 ...
user137566's user avatar
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112 views

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: ...
cbhami's user avatar
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1 answer
459 views

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. ...
Salman Al-haddad's user avatar
1 vote
0 answers
168 views

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 ...
insomniac's user avatar
1 vote
3 answers
3k views

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 ...
Wenuka's user avatar
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1 vote
0 answers
52 views

Deep Learning with Time Series Data (containing Log Returns)

I am curious about how I would begin to approach this problem. I am working with a time series multi-indexed data frame (consisting of precomputed log returns) of various stocks. In this dataframe, ...
UbuntuEnt's user avatar
3 votes
2 answers
889 views

Which is meant by +/-9.2e18 years in timespan?

I was able to convert the 9.2e18 AD to a date, but I am confused about the exact date. Which date is 9.2e18 AD and and 9.2e18 BC? Time span (absolute) - [9.2e18 BC, 9.2e18 AD] i.e +/- 9.2e18 years ...
Rinshan Kolayil's user avatar
2 votes
1 answer
78 views

Survival analysis to estimate kanban tasks completion times

I am working on a problem to estimate task completion time in kanban (project management tool). While doing EDA, I looked at tasks that are either done or cancelled. In this case, I defined the ...
Sharath's user avatar
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1 answer
24 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 ...
user3555243's user avatar
1 vote
0 answers
103 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 ...
Bridgeburners's user avatar
3 votes
1 answer
81 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? ...
El abassi Rida's user avatar
1 vote
1 answer
3k 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 ...
Steven's user avatar
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1 vote
1 answer
81 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, ...
Georgiy's user avatar
  • 13
1 vote
1 answer
1k 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 ...
ColRow's user avatar
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1 vote
1 answer
2k 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. ...
Casper's user avatar
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1 vote
0 answers
12 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, ...
James Bowery's user avatar
1 vote
2 answers
55 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 ...
EricA's user avatar
  • 113
2 votes
1 answer
187 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 ...
Juan Esteban de la Calle's user avatar
1 vote
1 answer
54k 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 ...
bala's user avatar
  • 75
1 vote
0 answers
239 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 ...
SYN's user avatar
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