From d6afe676e603926e9956fdf406640a9bc2dc43fe Mon Sep 17 00:00:00 2001 From: Ocenka Date: Wed, 18 Dec 2024 19:25:20 +0000 Subject: [PATCH] typos insight_worker.rst Signed-off-by: Ocenka --- docs/source/development-guide/workers/insight_worker.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/source/development-guide/workers/insight_worker.rst b/docs/source/development-guide/workers/insight_worker.rst index 99175e0228..84fded4c11 100644 --- a/docs/source/development-guide/workers/insight_worker.rst +++ b/docs/source/development-guide/workers/insight_worker.rst @@ -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: @@ -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. \ No newline at end of file +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.