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[Documentation] Fix typos #2962

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[Documentation] Fix typos #2962

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typos feature_request.md
vipocenka Dec 18, 2024
d6afe67
typos insight_worker.rst
vipocenka Dec 18, 2024
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2 changes: 1 addition & 1 deletion .github/ISSUE_TEMPLATE/feature_request.md
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
---
name: Feature request
about: Suggest an feature request or enhancement for our project!
about: Suggest a feature request or enhancement for our project!

---

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4 changes: 2 additions & 2 deletions docs/source/development-guide/workers/insight_worker.rst
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Expand Up @@ -16,7 +16,7 @@ The standard options are:
- ``workers``, the number of instances of this worker that Augur should spawn if ``switch`` is set to ``1``. Defaults to ``1``.
- ``port``, which is the base TCP port the worker will use t0 communicate with Augur’s broker. The default is different for each worker, for the ``insight_worker`` it is ``21311``.

Keeping workers at 1 should be fine for small collection sets, but if you have a lot of repositories to collect data for, you can raise it. We also suggest double checking that the default worker ports are free on your machine.
Keeping workers at 1 should be fine for small collection sets, but if you have a lot of repositories to collect data for, you can raise it. We also suggest double-checking that the default worker ports are free on your machine.

Configuration for ML models are:

Expand Down Expand Up @@ -116,4 +116,4 @@ Methods inside the Insight_model

- ``insert_data``\:It is called by the ``lstm_keras`` method with ``entry_info``, ``repo_id``, ``anomaly_df``, ``model`` as parameters.Here ``anomaly_df`` is the dataframe which consists of points which are classified as outliers between the ``anomaly_days``.

Insights\_model consists of multiple independent methods like ``time_series_metrics``, ``insert_data`` etc..These methods can be used independently with other Machine Learning models.Also ``preprocess_data``, ``model_lstm`` methods can be easily modified according to the different LSTM networks configuration.
Insights\_model consists of multiple independent methods like ``time_series_metrics``, ``insert_data`` etc..These methods can be used independently with other Machine Learning models.Also ``preprocess_data``, ``model_lstm`` methods can be easily modified according to the different LSTM networks configuration.
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