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https://issues.apache.org/jira/browse/FLINK-2157?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14618493#comment-14618493
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ASF GitHub Bot commented on FLINK-2157:
---------------------------------------
Github user tillrohrmann commented on a diff in the pull request:
https://github.com/apache/flink/pull/871#discussion_r34140107
--- Diff:
flink-staging/flink-ml/src/main/scala/org/apache/flink/ml/recommendation/ALS.scala
---
@@ -25,11 +25,15 @@ import org.apache.flink.api.scala._
import org.apache.flink.api.common.operators.Order
import org.apache.flink.core.memory.{DataOutputView, DataInputView}
import org.apache.flink.ml.common._
-import org.apache.flink.ml.pipeline.{FitOperation,
PredictDataSetOperation, Predictor}
+import org.apache.flink.ml.evaluation.RegressionScores
+import org.apache.flink.ml.math.{DenseVector, BLAS}
+import org.apache.flink.ml.pipeline._
import org.apache.flink.types.Value
import org.apache.flink.util.Collector
-import org.apache.flink.api.common.functions.{Partitioner =>
FlinkPartitioner, GroupReduceFunction, CoGroupFunction}
+import org.apache.flink.api.common.functions.{Partitioner =>
FlinkPartitioner,
+ GroupReduceFunction, CoGroupFunction}
+// TODO: Use only one BLAS interface
--- End diff --
You're right. Let's open a separate PR for this.
> Create evaluation framework for ML library
> ------------------------------------------
>
> Key: FLINK-2157
> URL: https://issues.apache.org/jira/browse/FLINK-2157
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Theodore Vasiloudis
> Labels: ML
> Fix For: 0.10
>
>
> Currently, FlinkML lacks means to evaluate the performance of trained models.
> It would be great to add some {{Evaluators}} which can calculate some score
> based on the information about true and predicted labels. This could also be
> used for the cross validation to choose the right hyper parameters.
> Possible scores could be F score [1], zero-one-loss score, etc.
> Resources
> [1] [http://en.wikipedia.org/wiki/F1_score]
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