Training data : forecasted or actual? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsUsing RNN (LSTM) for predicting one future value of a time seriesWhat is a better approach for cross-validation with time-related predictorsIdeas for using polynomial regression for multivariate time series predictionForecast vs Prediction: What is the difference?Higher frequency of time series benefitsIs there a disadvantage to letting a model train for a large number of epochs?Bugs in Pytorch replication of a simple LSTM model built with Kerashow to predict content based demandHow to reshape data for LSTM training in multivariate sequence predictionHow important is the input data for a ML model?
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Training data : forecasted or actual?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsUsing RNN (LSTM) for predicting one future value of a time seriesWhat is a better approach for cross-validation with time-related predictorsIdeas for using polynomial regression for multivariate time series predictionForecast vs Prediction: What is the difference?Higher frequency of time series benefitsIs there a disadvantage to letting a model train for a large number of epochs?Bugs in Pytorch replication of a simple LSTM model built with Kerashow to predict content based demandHow to reshape data for LSTM training in multivariate sequence predictionHow important is the input data for a ML model?
$begingroup$
I am working on a time series prediction problem. I am using keras models for machine learning.
For this prediction, weather variables are used as input. They can be of two types: forecasted and actual. I have acquired both these types of data of a considerable amount of time and I want to train and test my model on the data. My question is:
1) Should I use forecasted weather variables OR actual weather variables in input while training? (consider that only forecasted weather variables will be available at model inferencing time).
2) Same question 1 for testing.
Is there a rule or general practice regarding the above questions? If yes, I would like to know that.
time-series training machine-learning-model forecasting
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
$endgroup$
add a comment |
$begingroup$
I am working on a time series prediction problem. I am using keras models for machine learning.
For this prediction, weather variables are used as input. They can be of two types: forecasted and actual. I have acquired both these types of data of a considerable amount of time and I want to train and test my model on the data. My question is:
1) Should I use forecasted weather variables OR actual weather variables in input while training? (consider that only forecasted weather variables will be available at model inferencing time).
2) Same question 1 for testing.
Is there a rule or general practice regarding the above questions? If yes, I would like to know that.
time-series training machine-learning-model forecasting
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
$endgroup$
$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30
add a comment |
$begingroup$
I am working on a time series prediction problem. I am using keras models for machine learning.
For this prediction, weather variables are used as input. They can be of two types: forecasted and actual. I have acquired both these types of data of a considerable amount of time and I want to train and test my model on the data. My question is:
1) Should I use forecasted weather variables OR actual weather variables in input while training? (consider that only forecasted weather variables will be available at model inferencing time).
2) Same question 1 for testing.
Is there a rule or general practice regarding the above questions? If yes, I would like to know that.
time-series training machine-learning-model forecasting
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
$endgroup$
I am working on a time series prediction problem. I am using keras models for machine learning.
For this prediction, weather variables are used as input. They can be of two types: forecasted and actual. I have acquired both these types of data of a considerable amount of time and I want to train and test my model on the data. My question is:
1) Should I use forecasted weather variables OR actual weather variables in input while training? (consider that only forecasted weather variables will be available at model inferencing time).
2) Same question 1 for testing.
Is there a rule or general practice regarding the above questions? If yes, I would like to know that.
time-series training machine-learning-model forecasting
time-series training machine-learning-model forecasting
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
asked Apr 3 at 5:56
Osama Arshad DarOsama Arshad Dar
11512
11512
$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30
add a comment |
$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30
$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30
$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30
add a comment |
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$begingroup$
What do you want to predict? Whether a given forecast will be right given past forecasts and past actuals?
$endgroup$
– ignatius
Apr 3 at 9:30