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website/versioned_docs/version-1.0.4/Quick Examples/estimators/_VW.md

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import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; import DocTable from "@theme/DocumentationTable";

VowpalWabbitRegressor

<Tabs defaultValue="py" values={[ {label: Python, value: py}, {label: Scala, value: scala}, ]}> <TabItem value="py">

<!--pytest-codeblocks:cont-->
python
from synapse.ml.vw import *

vw = (VowpalWabbitRegressor()
      .setLabelCol("Y1")
      .setFeaturesCol("features")
      .setPredictionCol("pred"))

vwRegressor = (VowpalWabbitRegressor()
      .setNumPasses(20)
      .setPassThroughArgs("--holdout_off --loss_function quantile -q :: -l 0.1"))
</TabItem> <TabItem value="scala">
scala
import com.microsoft.azure.synapse.ml.vw._

val vw = (new VowpalWabbitRegressor()
  .setLabelCol("Y1")
  .setFeaturesCol("features")
  .setPredictionCol("pred"))

val vwRegressor = (new VowpalWabbitRegressor()
  .setNumPasses(20)
  .setPassThroughArgs("--holdout_off --loss_function quantile -q :: -l 0.1"))
</TabItem> </Tabs>

<DocTable className="VowpalWabbitRegressor" py="synapse.ml.vw.html#module-synapse.ml.vw.VowpalWabbitRegressor" scala="com/microsoft/azure/synapse/ml/vw/VowpalWabbitRegressor.html" csharp="classSynapse_1_1ML_1_1Vw_1_1VowpalWabbitRegressor.html" sourceLink="https://github.com/microsoft/SynapseML/blob/master/vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitRegressor.scala" />

VowpalWabbitContextualBandit

<Tabs defaultValue="py" values={[ {label: Python, value: py}, {label: Scala, value: scala}, ]}> <TabItem value="py">

<!--pytest-codeblocks:cont-->
python
from synapse.ml.vw import *

cb = (VowpalWabbitContextualBandit()
      .setPassThroughArgs("--cb_explore_adf --epsilon 0.2 --quiet")
      .setLabelCol("cost")
      .setProbabilityCol("prob")
      .setChosenActionCol("chosen_action")
      .setSharedCol("shared_features")
      .setFeaturesCol("action_features")
      .setUseBarrierExecutionMode(False))
</TabItem> <TabItem value="scala">
scala
import com.microsoft.azure.synapse.ml.vw._

val cb = (new VowpalWabbitContextualBandit()
  .setPassThroughArgs("--cb_explore_adf --epsilon 0.2 --quiet")
  .setLabelCol("cost")
  .setProbabilityCol("prob")
  .setChosenActionCol("chosen_action")
  .setSharedCol("shared_features")
  .setFeaturesCol("action_features")
  .setUseBarrierExecutionMode(false))
</TabItem> </Tabs>

<DocTable className="VowpalWabbitContextualBandit" py="synapse.ml.vw.html#module-synapse.ml.vw.VowpalWabbitContextualBandit" scala="com/microsoft/azure/synapse/ml/vw/VowpalWabbitContextualBandit.html" csharp="classSynapse_1_1ML_1_1Vw_1_1VowpalWabbitContextualBandit.html" sourceLink="https://github.com/microsoft/SynapseML/blob/master/vw/src/main/scala/com/microsoft/azure/synapse/ml/vw/VowpalWabbitContextualBandit.scala" />