typos insight_worker.rst

Signed-off-by: Ocenka <[email protected]>

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.
+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.