How to prepare data for LSTM time series prediction
$begingroup$
I have a binary classification task for time series data.
Every 14 rows in my CSV is relevant to one time slot. How should I prepare this data to be used in LSTM? In other word how to feed the model with this data?
python learning
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
$endgroup$
bumped to the homepage by Community♦ 16 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I have a binary classification task for time series data.
Every 14 rows in my CSV is relevant to one time slot. How should I prepare this data to be used in LSTM? In other word how to feed the model with this data?
python learning
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
$endgroup$
bumped to the homepage by Community♦ 16 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48
add a comment |
$begingroup$
I have a binary classification task for time series data.
Every 14 rows in my CSV is relevant to one time slot. How should I prepare this data to be used in LSTM? In other word how to feed the model with this data?
python learning
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
$endgroup$
I have a binary classification task for time series data.
Every 14 rows in my CSV is relevant to one time slot. How should I prepare this data to be used in LSTM? In other word how to feed the model with this data?
python learning
python learning
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
asked Mar 28 '17 at 19:20
KaggleKaggle
562277
562277
bumped to the homepage by Community♦ 16 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 16 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48
add a comment |
$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48
$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
I hope that dataset also consist of meta data, which means you also need to have a one to one mapping of those tuples, eg. dog > good, cat > bad, kittens > bad, puppies > good, etc.
Separate the data into X:training_data, Y:label. Then use a vectorizer and train using X, Y. If you're able to do above steps then use methods like test_train set , cross_folds etc.
Friendly suggestion: Try seq2seq layers before LSTM (they require more resources).
edited Jan 14 at 6:10
lmjohns3
498415
answered Jan 13 at 12:59
yunusyunus
1011
$endgroup$
add a comment |
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$begingroup$
I hope that dataset also consist of meta data, which means you also need to have a one to one mapping of those tuples, eg. dog > good, cat > bad, kittens > bad, puppies > good, etc.
Separate the data into X:training_data, Y:label. Then use a vectorizer and train using X, Y. If you're able to do above steps then use methods like test_train set , cross_folds etc.
Friendly suggestion: Try seq2seq layers before LSTM (they require more resources).
edited Jan 14 at 6:10
lmjohns3
498415
answered Jan 13 at 12:59
yunusyunus
1011
$endgroup$
add a comment |
$begingroup$
I hope that dataset also consist of meta data, which means you also need to have a one to one mapping of those tuples, eg. dog > good, cat > bad, kittens > bad, puppies > good, etc.
Separate the data into X:training_data, Y:label. Then use a vectorizer and train using X, Y. If you're able to do above steps then use methods like test_train set , cross_folds etc.
Friendly suggestion: Try seq2seq layers before LSTM (they require more resources).
edited Jan 14 at 6:10
lmjohns3
498415
answered Jan 13 at 12:59
yunusyunus
1011
$endgroup$
add a comment |
$begingroup$
I hope that dataset also consist of meta data, which means you also need to have a one to one mapping of those tuples, eg. dog > good, cat > bad, kittens > bad, puppies > good, etc.
Separate the data into X:training_data, Y:label. Then use a vectorizer and train using X, Y. If you're able to do above steps then use methods like test_train set , cross_folds etc.
Friendly suggestion: Try seq2seq layers before LSTM (they require more resources).
edited Jan 14 at 6:10
lmjohns3
498415
answered Jan 13 at 12:59
yunusyunus
1011
$endgroup$
I hope that dataset also consist of meta data, which means you also need to have a one to one mapping of those tuples, eg. dog > good, cat > bad, kittens > bad, puppies > good, etc.
Separate the data into X:training_data, Y:label. Then use a vectorizer and train using X, Y. If you're able to do above steps then use methods like test_train set , cross_folds etc.
Friendly suggestion: Try seq2seq layers before LSTM (they require more resources).
edited Jan 14 at 6:10
lmjohns3
498415
answered Jan 13 at 12:59
yunusyunus
1011
edited Jan 14 at 6:10
lmjohns3
498415
edited Jan 14 at 6:10
lmjohns3
498415
edited Jan 14 at 6:10
lmjohns3
498415
498415
answered Jan 13 at 12:59
yunusyunus
1011
answered Jan 13 at 12:59
yunusyunus
1011
answered Jan 13 at 12:59
yunusyunus
1011
1011
add a comment |
add a comment |
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$begingroup$
Can you be more specific about what variables the rows and columns of your CSV represent? In particular, are there only 14 features for each time step (equivalently, is there only one column in your CSV)?
$endgroup$
– liangjy
Mar 29 '17 at 1:11
$begingroup$
For each time step (every 14 rows in csv) I have 12 features and the task is binary classification.How should I load this data to LSTM?So the number of column is 12
$endgroup$
– Kaggle
Mar 29 '17 at 8:48