Multivariate Variable Length Timeseries in TFRecord dataset
I am trying to compose a TFRecord dataset from the UCI repository: https://archive.ics.uci.edu/ml/datasets/Character+Trajectories
The data consists of 2858 samples with each a class and a multivariate (=3) sequence of measurements. Maximum length is 205 steps.
When I create the TFRecord dataset, it seems that a tf.train.SequenceExample is the object to go for. But all the examples cover only univariate timeseries.
with tf.python_io.TFRecordWriter('/tmp/test.tfrecord') as writer:
for seq, cls in zip(sequences, classes)):
LEN = seq.shape[1]
example = tf.train.SequenceExample()
example.context.feature["length"].int64_list.value.append(LEN)
example.context.feature["class"].int64_list.value.append(cls)
example_tokens = record_seq.feature_lists.feature_list['sequence']
for i in range(LEN):
#THIS does not work for 3xLEN sequences
example_tokens.feature.add().float_list.value.append(seq[:,i])
How do I write the 3xLEN sequence to TFrecord using SequenceExample?
tensorflow machine-learning tfrecord
asked Nov 12 at 12:13
Johnny Fritz
11
add a comment |
I am trying to compose a TFRecord dataset from the UCI repository: https://archive.ics.uci.edu/ml/datasets/Character+Trajectories
The data consists of 2858 samples with each a class and a multivariate (=3) sequence of measurements. Maximum length is 205 steps.
When I create the TFRecord dataset, it seems that a tf.train.SequenceExample is the object to go for. But all the examples cover only univariate timeseries.
with tf.python_io.TFRecordWriter('/tmp/test.tfrecord') as writer:
for seq, cls in zip(sequences, classes)):
LEN = seq.shape[1]
example = tf.train.SequenceExample()
example.context.feature["length"].int64_list.value.append(LEN)
example.context.feature["class"].int64_list.value.append(cls)
example_tokens = record_seq.feature_lists.feature_list['sequence']
for i in range(LEN):
#THIS does not work for 3xLEN sequences
example_tokens.feature.add().float_list.value.append(seq[:,i])
How do I write the 3xLEN sequence to TFrecord using SequenceExample?
tensorflow machine-learning tfrecord
asked Nov 12 at 12:13
Johnny Fritz
11
1
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35
add a comment |
I am trying to compose a TFRecord dataset from the UCI repository: https://archive.ics.uci.edu/ml/datasets/Character+Trajectories
The data consists of 2858 samples with each a class and a multivariate (=3) sequence of measurements. Maximum length is 205 steps.
When I create the TFRecord dataset, it seems that a tf.train.SequenceExample is the object to go for. But all the examples cover only univariate timeseries.
with tf.python_io.TFRecordWriter('/tmp/test.tfrecord') as writer:
for seq, cls in zip(sequences, classes)):
LEN = seq.shape[1]
example = tf.train.SequenceExample()
example.context.feature["length"].int64_list.value.append(LEN)
example.context.feature["class"].int64_list.value.append(cls)
example_tokens = record_seq.feature_lists.feature_list['sequence']
for i in range(LEN):
#THIS does not work for 3xLEN sequences
example_tokens.feature.add().float_list.value.append(seq[:,i])
How do I write the 3xLEN sequence to TFrecord using SequenceExample?
tensorflow machine-learning tfrecord
asked Nov 12 at 12:13
Johnny Fritz
11
I am trying to compose a TFRecord dataset from the UCI repository: https://archive.ics.uci.edu/ml/datasets/Character+Trajectories
The data consists of 2858 samples with each a class and a multivariate (=3) sequence of measurements. Maximum length is 205 steps.
When I create the TFRecord dataset, it seems that a tf.train.SequenceExample is the object to go for. But all the examples cover only univariate timeseries.
with tf.python_io.TFRecordWriter('/tmp/test.tfrecord') as writer:
for seq, cls in zip(sequences, classes)):
LEN = seq.shape[1]
example = tf.train.SequenceExample()
example.context.feature["length"].int64_list.value.append(LEN)
example.context.feature["class"].int64_list.value.append(cls)
example_tokens = record_seq.feature_lists.feature_list['sequence']
for i in range(LEN):
#THIS does not work for 3xLEN sequences
example_tokens.feature.add().float_list.value.append(seq[:,i])
How do I write the 3xLEN sequence to TFrecord using SequenceExample?
tensorflow machine-learning tfrecord
tensorflow machine-learning tfrecord
asked Nov 12 at 12:13
Johnny Fritz
11
asked Nov 12 at 12:13
Johnny Fritz
11
edited Nov 12 at 12:23
asked Nov 12 at 12:13
Johnny Fritz
11
asked Nov 12 at 12:13
Johnny Fritz
11
asked Nov 12 at 12:13
Johnny Fritz
11
11
1
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35
add a comment |
1
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35
1
1
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35
add a comment |
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1
Welcome to SO; please clarify exactly what your question is, and provide some code (what you have tried so far) to illustrate the issue.
– desertnaut
Nov 12 at 12:15
added code for more clarity
– Johnny Fritz
Nov 12 at 12:35