Fixed bug in ROC component definition (#1093)

* Fixed bug in ROC component definition

* Fixed the XGBoost sample

* Fixed the ROC op usage in XGBoost sample

components/local/roc/component.yaml

@@ -12,7 +12,7 @@ inputs:
 implementation:
   container:
     image: gcr.io/ml-pipeline/ml-pipeline-local-confusion-matrix:a277f87ea1d4707bf860d080d06639b7caf9a1cf
-    command: [python2, /ml/confusion_matrix.py]
+    command: [python2, /ml/roc.py]
     args: [
       --predictions,        {inputValue: Predictions dir},
       --trueclass,          {inputValue: True class},

samples/xgboost-spark/xgboost-training-cm.py

@@ -20,7 +20,7 @@ import kfp.gcp as gcp
 from kfp import components
 
 confusion_matrix_op = components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/confusion_matrix/component.yaml')
-roc_op =              components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/master/components/local/roc/component.yaml')
+roc_op =              components.load_component_from_url('https://raw.githubusercontent.com/kubeflow/pipelines/deb4d0ed41662055031832f4ba03e324dd609143/components/local/roc/component.yaml')
 
 # ================================================================
 # The following classes should be provided by components provider.
@@ -178,7 +178,12 @@ def xgb_train_pipeline(
     confusion_matrix_task = confusion_matrix_op(predict_op.output,
                                             '%s/{{workflow.name}}/confusionmatrix' % output).apply(gcp.use_gcp_secret('user-gcp-sa'))
 
-    roc_task = roc_op(predict_op.output, true_label, '%s/{{workflow.name}}/roc' % output).apply(gcp.use_gcp_secret('user-gcp-sa'))
+    roc_task = roc_op(
+      predictions_dir=predict_op.output,
+      true_class=true_label,
+      true_score_column=true_label,
+      output_dir='%s/{{workflow.name}}/roc' % output
+    ).apply(gcp.use_gcp_secret('user-gcp-sa'))
 
 if __name__ == '__main__':
   import kfp.compiler as compiler