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feat: annual Vowpal Wabbit improvements #1579
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…s, model loading,...)
vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/BanditEstimatorCressieRead.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/BanditEstimatorCressieRead.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/BanditEstimatorCressieReadInterval.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitBaseModelSpark.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitBaseProgressive.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitBaseProgressive.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitBaseProgressive.scala
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vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitGeneric.scala
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vw/src/test/scala/com/microsoft/azure/synapse/ml/vw/VerifyBanditEstimator.scala
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"df = (\n", | ||
" spark.read.format(\"text\")\n", | ||
" .schema(schema)\n", | ||
" .load(\"wasbs://publicwasb@mmlspark.blob.core.windows.net/decisionservice.json\")\n", |
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Might want to use something with more than 3 data points
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checking w/ VW team
notebooks/features/vw/Vowpal Wabbit - Classification using SparkML Vector.ipynb
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notebooks/features/vw/Vowpal Wabbit - Classification using SparkML Vector.ipynb
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"from synapse.ml.train import ComputeModelStatistics\n", | ||
"\n", | ||
"metrics = ComputeModelStatistics(\n", | ||
" evaluationMetric=\"classification\", labelCol=\"label\", scoredLabelsCol=\"prediction\"\n", |
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nit: multiline here would be prettier
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done
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doesent seem to be committed
notebooks/features/vw/Vowpal Wabbit - Classification using VW-native Format.ipynb
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Summary
Tests
some added.
Dependency changes
Updated to the latest VW binding (thanks @jackgerrits for pushing so hard)
AB#1890635