Changes in 675ee7a: updates to windestimation.md

				wiki/howto/windestimation.md
			
          @@ -35,5 +35,5 @@ To complete the training process successfully, you need to make sure that you ha

              ![Screenshot of confirmation dialog for finishing the data cleansing](../images/windestimation/confirmationDialogAfterDataCleansingDurationDimension.jpg "Screenshot of confirmation dialog for finishing the data cleansing")

           5. A new information dialog shows up requesting you to open the source code of the class ``com.sap.sailing.windestimation.model.regressor.twdtransition.DurationBasedTwdTransitionRegressorModelContext``. Open it and scroll down to the definition of the inner enum ``DurationValueRange``. The enum defines the intervals for which a separate regressor model will be trained. Read the Javadoc of ``DurationValueRange`` and adjust the intervals accordingly in order to allow the regressor model to learn the ``Zero mean sigma`` curve with minimal error. You can also configure the polynomial which will be used as regressor function. Make sure that there are at least 2 data points contained within each configured interval. The data point with x = 0, y = 0 will be created automatically within the model training procedure. Press OK in information dialog after you are done.

           6. A graphical info dialog shows up which requests you to perform data cleansing for the *distance* dimension. Press OK. All steps for data cleansing for the distance dimension are analogous to the steps of the duration dimension described from step 2. until step 5. Thus, consult these steps in order to complete the data cleansing for the distance dimension. The unit used for the distance representation is **meters**. The collection name required in step 3. is ``aggregatedDistanceTwdTransition``. The class required in step 5. is ``com.sap.sailing.windestimation.model.regressor.twdtransition.DistanceBasedTwdTransitionRegressorModelContext`` and its inner enum is ``DistanceValueRange``.

          -7. Run ``com.sap.sailing.windestimation.model.SimpleModelsTrainingPart2`` as a normal Java Application. Wait until the model training finishes and the program terminates normally. A new file with serialized representation of internal wind estimation models should be located in ``./windEstimationModels.dat``. The absolute path of the file must be printed in the console output of the program. You can upload the file via HTTP POST to http://sapsailing.com/windestimation/api/windestimation_data (see ``com.sap.sailing.windestimation.jaxrs.api.WindEstimationDataResource``) to update the wind estimation of a server instance. If you changed the source files of ``DurationValueRange`` or ``DistanceValueRange``, then you will need to update ``com.sap.sailing.windestimation`` bundle of the server instance which is meant to receive the new wind estimation models.

          +7. Run ``com.sap.sailing.windestimation.model.SimpleModelsTrainingPart2`` as a normal Java Application. Wait until the model training finishes and the program terminates normally. A new file with serialized representation of internal wind estimation models should be located in ``./windEstimationModels.dat``. The absolute path of the file must be printed in the console output of the program. You can upload the file via HTTP POST to http://sapsailing.com/windestimation/api/windestimation_data (see ``com.sap.sailing.windestimation.jaxrs.api.WindEstimationDataResource``) to update the wind estimation of a server instance. You may want to store a recent copy of the result of this training process by uploading the ``windEstimationModels.dat`` file to ``trac@sapsailing.com:static`` for later use. The file should not be stored in the git repository because it's more than 30MB in size. If you changed the source files of ``DurationValueRange`` or ``DistanceValueRange``, then you will need to update ``com.sap.sailing.windestimation`` bundle of the server instance which is meant to receive the new wind estimation models.

           8. Optionally, run ``com.sap.sailing.windestimation.evaluation.WindEstimatorManeuverNumberDependentEvaluationRunner`` as a normal Java Application to evaluate the wind estimation with the new trained models. The evaluation score will be stored as CSV in ``./maneuverNumberDependentEvaluation.csv``.

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...	...	@@ -35,5 +35,5 @@ To complete the training process successfully, you need to make sure that you ha
35	35	![Screenshot of confirmation dialog for finishing the data cleansing](../images/windestimation/confirmationDialogAfterDataCleansingDurationDimension.jpg "Screenshot of confirmation dialog for finishing the data cleansing")
36	36	5. A new information dialog shows up requesting you to open the source code of the class ``com.sap.sailing.windestimation.model.regressor.twdtransition.DurationBasedTwdTransitionRegressorModelContext``. Open it and scroll down to the definition of the inner enum ``DurationValueRange``. The enum defines the intervals for which a separate regressor model will be trained. Read the Javadoc of ``DurationValueRange`` and adjust the intervals accordingly in order to allow the regressor model to learn the ``Zero mean sigma`` curve with minimal error. You can also configure the polynomial which will be used as regressor function. Make sure that there are at least 2 data points contained within each configured interval. The data point with x = 0, y = 0 will be created automatically within the model training procedure. Press OK in information dialog after you are done.
37	37	6. A graphical info dialog shows up which requests you to perform data cleansing for the distance dimension. Press OK. All steps for data cleansing for the distance dimension are analogous to the steps of the duration dimension described from step 2. until step 5. Thus, consult these steps in order to complete the data cleansing for the distance dimension. The unit used for the distance representation is meters. The collection name required in step 3. is ``aggregatedDistanceTwdTransition``. The class required in step 5. is ``com.sap.sailing.windestimation.model.regressor.twdtransition.DistanceBasedTwdTransitionRegressorModelContext`` and its inner enum is ``DistanceValueRange``.
38		-7. Run ``com.sap.sailing.windestimation.model.SimpleModelsTrainingPart2`` as a normal Java Application. Wait until the model training finishes and the program terminates normally. A new file with serialized representation of internal wind estimation models should be located in ``./windEstimationModels.dat``. The absolute path of the file must be printed in the console output of the program. You can upload the file via HTTP POST to http://sapsailing.com/windestimation/api/windestimation_data (see ``com.sap.sailing.windestimation.jaxrs.api.WindEstimationDataResource``) to update the wind estimation of a server instance. If you changed the source files of ``DurationValueRange`` or ``DistanceValueRange``, then you will need to update ``com.sap.sailing.windestimation`` bundle of the server instance which is meant to receive the new wind estimation models.
	38	+7. Run ``com.sap.sailing.windestimation.model.SimpleModelsTrainingPart2`` as a normal Java Application. Wait until the model training finishes and the program terminates normally. A new file with serialized representation of internal wind estimation models should be located in ``./windEstimationModels.dat``. The absolute path of the file must be printed in the console output of the program. You can upload the file via HTTP POST to http://sapsailing.com/windestimation/api/windestimation_data (see ``com.sap.sailing.windestimation.jaxrs.api.WindEstimationDataResource``) to update the wind estimation of a server instance. You may want to store a recent copy of the result of this training process by uploading the ``windEstimationModels.dat`` file to ``trac@sapsailing.com:static`` for later use. The file should not be stored in the git repository because it's more than 30MB in size. If you changed the source files of ``DurationValueRange`` or ``DistanceValueRange``, then you will need to update ``com.sap.sailing.windestimation`` bundle of the server instance which is meant to receive the new wind estimation models.
39	39	8. Optionally, run ``com.sap.sailing.windestimation.evaluation.WindEstimatorManeuverNumberDependentEvaluationRunner`` as a normal Java Application to evaluate the wind estimation with the new trained models. The evaluation score will be stored as CSV in ``./maneuverNumberDependentEvaluation.csv``.
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