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Fix broken links to ml-stars primitive JSON files (#670) #673

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Fix broken links to ml-stars primitive JSON files (#670) #673

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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/LSTMTimeSeriesRegressor.rst
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Expand Up @@ -7,7 +7,7 @@ LSTM

**description**: this is a prediction model with double stacked LSTM layers used as a time series regressor. you can read more about it in the `related paper <https://arxiv.org/pdf/1802.04431.pdf>`__.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/keras.Sequential.LSTMTimeSeriesRegressor.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/keras.Sequential.LSTMTimeSeriesRegressor.json>`__.

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argument type description
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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/MinMaxScaler.rst
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Expand Up @@ -7,7 +7,7 @@ MinMaxScaler

**description**: this primitive transforms features by scaling each feature to a given range.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/sklearn.preprocessing.MinMaxScaler.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/sklearn.preprocessing.MinMaxScaler.json>`__.

==================== =================== =============================================================================================================
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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/SimpleImputer.rst
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Expand Up @@ -7,7 +7,7 @@ SimpleImputer

**description**: this primitive is an imputation transformer for filling missing values.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/sklearn.impute.SimpleImputer.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/sklearn.impute.SimpleImputer.json>`__.

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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/arima.rst
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Expand Up @@ -7,7 +7,7 @@ ARIMA

**description**: this is an Autoregressive Integrated Moving Average (ARIMA) prediction model.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/statsmodels.tsa.arima_model.Arima.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/statsmodels.tsa.arima_model.Arima.json>`__.

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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/intervals_to_mask.rst
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Expand Up @@ -7,7 +7,7 @@ intervals to mask

**description**: this primitive creates boolean mask from given intervals.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.intervals_to_mask.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.intervals_to_mask.json>`__.

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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/rolling_window_sequences.rst
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Expand Up @@ -7,7 +7,7 @@ rolling window sequence

**description**: this primitive generates many sub-sequences of the original sequence. it uses a rolling window approach to create the sub-sequences out of time series data.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.rolling_window_sequences.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.rolling_window_sequences.json>`__.

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2 changes: 1 addition & 1 deletion docs/user_guides/primitives_pipelines/primitives/time_segments_aggregate.rst
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Expand Up @@ -7,7 +7,7 @@ time segments aggregate

**description**: this primitive creates an equi-spaced time series by aggregating values over fixed specified interval.

see `json <https://github.com/MLBazaar/mlstars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.time_segments_aggregate.json>`__.
see `json <https://github.com/sintel-dev/ml-stars/blob/master/mlstars/primitives/mlstars.custom.timeseries_preprocessing.time_segments_aggregate.json>`__.

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