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## Versions
**river version**: River 0.1.0
**Python version**:Python 3.7.1
**Operating system**: Windows 10 Enterprise v1803
## Describe the issue
Have been playing around with River/Crem…
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Hi,
I'm exploring multivariate Gaussian mixture models to build an anomaly detection algorithm. I would like to know:
1. Is my approach sensible for anomaly detection?
2. Am I applying the pre…
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I have a code that obtains data from a postgresql database using `psycopg2`, stores it in the form of a dataframe (size: (21596, 15)) and uses prophet for doing anomaly detection on the values. The pa…
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Hi,
I have the following index definition:
```
{
"settings": {
"index": {
"knn": true,
"knn.space_type": "l2"
}
},
"mappings": {
"_doc": {
"properti…
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I have few questions consuming the API.
1) Does the API do the data preprocessing automatically?
- Does it take care of missing value, noise, etc?
- Can I visualize the data once it's p…
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Currently, as data is streamed in, `stumpi` appends this data to a growing time series. It may be helpful to add an `egress=True` function parameter to throw away the oldest point in the time series. …
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As suggested and discussed in #94 with @rmminusrslash and @visenger we'll add a new section on ML serving, as there's been quite a lot of new projects in this space. A few ML Serving frameworks inclu…
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I found you used the length of a string as the numeric data for machine learning algorithms, like
```
bro_df['query_length'] = bro_df['query'].str.len()
bro_df['answer_length'] = bro_df…
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I am interested in knowing about the skyline integration on seasonal data. I have looked through 3-sigma algorithms and feel like only FIRST_HOUR_AVERAGE Is the only algorithm that can detect seasonal…