Train Keras LSTM for sequential data where all labels except the last one of every sequence are given Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsDeep Learning with Spectrograms for sound recognitionPredict the next player's option for betting based on playing history?Keras data structure for LSTM-networksWhat is the proper train data format in LSTM?Shaping data for ConvLSTM for many-to-one image modelBeyond one-hot encoding for LSTM model in KerasHandle 50,000 classes in OneVsRestClassifierHow to reshape data for LSTM training in multivariate sequence predictionHow to deal with classification where all target classes are independent (keras & image recognition)Grouping the Input Features for LSTM (keras)
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Train Keras LSTM for sequential data where all labels except the last one of every sequence are given
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsDeep Learning with Spectrograms for sound recognitionPredict the next player's option for betting based on playing history?Keras data structure for LSTM-networksWhat is the proper train data format in LSTM?Shaping data for ConvLSTM for many-to-one image modelBeyond one-hot encoding for LSTM model in KerasHandle 50,000 classes in OneVsRestClassifierHow to reshape data for LSTM training in multivariate sequence predictionHow to deal with classification where all target classes are independent (keras & image recognition)Grouping the Input Features for LSTM (keras)
$begingroup$
I am currently working on a data set where there are sequences of trips for certain people from one cluster to another.
The beginning cluster does not equal to the finishing cluster from the trip before.
My task is to predict the cluster a person will end up in on his last trip.
So I have got labels for all ending cluster except for the very last one of every trip.
I would like to use a Keras LSTM to solve this problem, but I don't know how!
It seems like a many-to-one problem, but I cant convert the ending clusters to features, as the last sequence would lack that crucial feature!
It also seems like a many-to-many problem on the far right of the image below, is there a way to give these n-1 labels to the model and expect to receive a correct answer for the last prediction?
How could I proceed to solve this problem?
neural-network keras lstm multilabel-classification sequence
asked 21 mins ago
DennyDenny
111
$endgroup$
add a comment |
$begingroup$
I am currently working on a data set where there are sequences of trips for certain people from one cluster to another.
The beginning cluster does not equal to the finishing cluster from the trip before.
My task is to predict the cluster a person will end up in on his last trip.
So I have got labels for all ending cluster except for the very last one of every trip.
I would like to use a Keras LSTM to solve this problem, but I don't know how!
It seems like a many-to-one problem, but I cant convert the ending clusters to features, as the last sequence would lack that crucial feature!
It also seems like a many-to-many problem on the far right of the image below, is there a way to give these n-1 labels to the model and expect to receive a correct answer for the last prediction?
How could I proceed to solve this problem?
neural-network keras lstm multilabel-classification sequence
asked 21 mins ago
DennyDenny
111
$endgroup$
add a comment |
$begingroup$
I am currently working on a data set where there are sequences of trips for certain people from one cluster to another.
The beginning cluster does not equal to the finishing cluster from the trip before.
My task is to predict the cluster a person will end up in on his last trip.
So I have got labels for all ending cluster except for the very last one of every trip.
I would like to use a Keras LSTM to solve this problem, but I don't know how!
It seems like a many-to-one problem, but I cant convert the ending clusters to features, as the last sequence would lack that crucial feature!
It also seems like a many-to-many problem on the far right of the image below, is there a way to give these n-1 labels to the model and expect to receive a correct answer for the last prediction?
How could I proceed to solve this problem?
neural-network keras lstm multilabel-classification sequence
asked 21 mins ago
DennyDenny
111
$endgroup$
I am currently working on a data set where there are sequences of trips for certain people from one cluster to another.
The beginning cluster does not equal to the finishing cluster from the trip before.
My task is to predict the cluster a person will end up in on his last trip.
So I have got labels for all ending cluster except for the very last one of every trip.
I would like to use a Keras LSTM to solve this problem, but I don't know how!
It seems like a many-to-one problem, but I cant convert the ending clusters to features, as the last sequence would lack that crucial feature!
It also seems like a many-to-many problem on the far right of the image below, is there a way to give these n-1 labels to the model and expect to receive a correct answer for the last prediction?
How could I proceed to solve this problem?
neural-network keras lstm multilabel-classification sequence
neural-network keras lstm multilabel-classification sequence
asked 21 mins ago
DennyDenny
111
asked 21 mins ago
DennyDenny
111
asked 21 mins ago
DennyDenny
111
asked 21 mins ago
DennyDenny
111
asked 21 mins ago
DennyDenny
111
111
add a comment |
add a comment |
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