How to convert a time series data which can be fed to a Machine Leanring model for unsupervised learning?
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I am very new to time series data. I am working with server data and want to classify if the bunch of server times are healthy or not.
My data looks like this in pandas
+-------+-----------+------------+----------------+-------+
| ID | timestamp | IP_address | event_type | usage |
+-------+-----------+------------+----------------+-------+
| 12xcv | 456 | 123573 | server_load | 56.0 |
| 12xcv | 457 | 123573 | server_process | 59.0 |
| 12xcv | 459 | 123573 | unload | 43.0 |
| 23vbz | 461 | 123573 | server_load | 78.0 |
| 23vbz | 461 | 123573 | unload | 78.0 |
+-------+-----------+------------+----------------+-------+
My questions are:
I want to use unsupervised clustering algorithm. How do I convert this data so that I can use something like k-means with two clusters such that one cluster denotes healthy and other denotes unhealthy.
What other unsupervised methods exists for classification in time series data?
python time-series pandas
asked 6 mins ago
HeisenbugHeisenbug
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$begingroup$
I am very new to time series data. I am working with server data and want to classify if the bunch of server times are healthy or not.
My data looks like this in pandas
+-------+-----------+------------+----------------+-------+
| ID | timestamp | IP_address | event_type | usage |
+-------+-----------+------------+----------------+-------+
| 12xcv | 456 | 123573 | server_load | 56.0 |
| 12xcv | 457 | 123573 | server_process | 59.0 |
| 12xcv | 459 | 123573 | unload | 43.0 |
| 23vbz | 461 | 123573 | server_load | 78.0 |
| 23vbz | 461 | 123573 | unload | 78.0 |
+-------+-----------+------------+----------------+-------+
My questions are:
I want to use unsupervised clustering algorithm. How do I convert this data so that I can use something like k-means with two clusters such that one cluster denotes healthy and other denotes unhealthy.
What other unsupervised methods exists for classification in time series data?
python time-series pandas
asked 6 mins ago
HeisenbugHeisenbug
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am very new to time series data. I am working with server data and want to classify if the bunch of server times are healthy or not.
My data looks like this in pandas
+-------+-----------+------------+----------------+-------+
| ID | timestamp | IP_address | event_type | usage |
+-------+-----------+------------+----------------+-------+
| 12xcv | 456 | 123573 | server_load | 56.0 |
| 12xcv | 457 | 123573 | server_process | 59.0 |
| 12xcv | 459 | 123573 | unload | 43.0 |
| 23vbz | 461 | 123573 | server_load | 78.0 |
| 23vbz | 461 | 123573 | unload | 78.0 |
+-------+-----------+------------+----------------+-------+
My questions are:
I want to use unsupervised clustering algorithm. How do I convert this data so that I can use something like k-means with two clusters such that one cluster denotes healthy and other denotes unhealthy.
What other unsupervised methods exists for classification in time series data?
python time-series pandas
asked 6 mins ago
HeisenbugHeisenbug
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am very new to time series data. I am working with server data and want to classify if the bunch of server times are healthy or not.
My data looks like this in pandas
+-------+-----------+------------+----------------+-------+
| ID | timestamp | IP_address | event_type | usage |
+-------+-----------+------------+----------------+-------+
| 12xcv | 456 | 123573 | server_load | 56.0 |
| 12xcv | 457 | 123573 | server_process | 59.0 |
| 12xcv | 459 | 123573 | unload | 43.0 |
| 23vbz | 461 | 123573 | server_load | 78.0 |
| 23vbz | 461 | 123573 | unload | 78.0 |
+-------+-----------+------------+----------------+-------+
My questions are:
I want to use unsupervised clustering algorithm. How do I convert this data so that I can use something like k-means with two clusters such that one cluster denotes healthy and other denotes unhealthy.
What other unsupervised methods exists for classification in time series data?
python time-series pandas
python time-series pandas
asked 6 mins ago
HeisenbugHeisenbug
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
HeisenbugHeisenbug
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
HeisenbugHeisenbug
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 6 mins ago
HeisenbugHeisenbug
1
asked 6 mins ago
HeisenbugHeisenbug
1
1
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Heisenbug is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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