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Adding the 2nd set of functionality and many more widgets
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@jamartinh
jamartinh committed Nov 29, 2015
1 parent 81eb015 commit 67a16b7
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44 changes: 0 additions & 44 deletions orangecontrib/spark/tutorials/example_tutorial.ows
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58 changes: 58 additions & 0 deletions orangecontrib/spark/tutorials/spark_ml.ows
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<?xml version='1.0' encoding='utf-8'?>
<scheme description="This tutorial shows a basic flow to work with Spark ML widgets.&#10;&#10;The Spark Context is shared for all Spark ML widgets and should be created first." title="Spark ML tutorial" version="2.0">
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<node id="0" name="Context" position="(41.0, 97.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.data.spark_context.OWSparkContext" title="Context" version="" />
<node id="1" name="Hive Table" position="(41.0, 247.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.data.spark_table.OWSparkSQLTableContext" title="Training data" version="" />
<node id="2" name="Dataset Builder" position="(191.0, 247.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.ml.spark_ml_dataset.OWSparkMLDatasetBuilder" title="Dataset Builder" version="" />
<node id="3" name="Classification" position="(341.0, 247.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.ml.spark_ml_classification.OWSparkMLClassification" title="Classification" version="" />
<node id="4" name="Model Transformer" position="(491.0, 397.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.ml.spark_ml_model.OWSparkMLMOdel" title="Model Transformer" version="" />
<node id="5" name="Hive Table" position="(41.0, 397.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.data.spark_table.OWSparkSQLTableContext" title="Testing Data" version="" />
<node id="6" name="Dataset Builder" position="(191.0, 397.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.ml.spark_ml_dataset.OWSparkMLDatasetBuilder" title="Dataset Builder (1)" version="" />
<node id="7" name="Evaluation" position="(641.0, 397.0)" project_name="Orange3-spark" qualified_name="orangecontrib.spark.widgets.ml.spark_ml_evaluation.OWSparkMLEvaluator" title="Evaluation" version="" />
</nodes>
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<link enabled="true" id="0" sink_channel="DataFrame" sink_node_id="3" source_channel="DataFrame" source_node_id="2" />
<link enabled="true" id="1" sink_channel="Model" sink_node_id="4" source_channel="Model" source_node_id="3" />
<link enabled="true" id="2" sink_channel="DataFrame" sink_node_id="2" source_channel="DataFrame" source_node_id="1" />
<link enabled="true" id="3" sink_channel="DataFrame" sink_node_id="6" source_channel="DataFrame" source_node_id="5" />
<link enabled="true" id="4" sink_channel="DataFrame" sink_node_id="4" source_channel="DataFrame" source_node_id="6" />
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<text font-family="Helvetica" font-size="18" id="1" rect="(190.0, 15.0, 245.0, 31.0)">First, create a Spark Context</text>
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<text font-family="Helvetica" font-size="20" id="3" rect="(179.0, 117.0, 436.0, 21.0)">DataFrame from a Hive Table</text>
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<arrow end="(221.99999999999994, 309.0)" fill="#39B54A" id="5" start="(336.99999999999994, 566.0)" />
<text font-family="Helvetica" font-size="18" id="6" rect="(334.0, 559.0, 309.0, 56.0)">Select columns as the classification features and the label column</text>
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<text font-family="Helvetica" font-size="16" id="8" rect="(535.0, 165.0, 269.0, 50.0)">Select a classification algorithm
and obtain a fitted model</text>
<text font-family="Helvetica" font-size="16" id="9" rect="(539.0, 234.0, 256.0, 50.0)">Apply the fitted model to the testing dataset</text>
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<text font-family="Helvetica" font-size="16" id="11" rect="(671.0, 473.0, 158.0, 69.0)">Get some measures
on the classification experiment.</text>
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