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Author: ravinkohli

docs/manual.rst

@@ -37,9 +37,9 @@ For **time series forecasting tasks**, besides the functions described above, ti
 check the information specify for time series forecasting tasks: it checks
 
 * The index of the series that each data point belongs to
-* if the dataset is uni-variant (only targets information is contained in the datasets)
-* the sample frequency of the datasets
-* the static features in the dataset, i.e., features that contain only one value within each series
+* If the dataset is uni-variant (only targets information is contained in the datasets)
+* The sample frequency of the datasets
+* The static features in the dataset, i.e., features that contain only one value within each series
 
 Time Series forecasting validator then transforms the features and targets into a `pd.DataFrame <https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html>`_
 whose index is applied to identify the series that the time step belongs to.