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Correct some syntax/compilation errors in Titanic Binary Classification Docs Example #202

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Jan 7, 2019
Merged

Correct some syntax/compilation errors in Titanic Binary Classification Docs Example #202

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f2377fa
correct errors
crupley Jan 5, 2019
16fd671
put back trailing whitespace
crupley Jan 5, 2019
51ba812
age as Real instead of RealNN
crupley Jan 5, 2019
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8 changes: 5 additions & 3 deletions docs/examples/Titanic-Binary-Classification.md
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Original file line number Diff line number Diff line change
Expand Up @@ -60,7 +60,7 @@ val name = FeatureBuilder.Text[Passenger].extract(_.name.toText).asPredictor

val sex = FeatureBuilder.PickList[Passenger].extract(_.sex.map(_.toString).toPickList).asPredictor

val age = FeatureBuilder.RealNN[Passenger].extract(_.age.toRealNN).asPredictor
val age = FeatureBuilder.Real[Passenger].extract(_.age.toReal).asPredictor

val sibSp = FeatureBuilder.Integral[Passenger].extract(_.sibSp.toIntegral).asPredictor

Expand Down Expand Up @@ -101,9 +101,9 @@ See [“Creating Shortcuts for Transformers and Estimators”](../developer-guid
We now define a Feature of type Vector, that is a vector representation of all the features we would like to use as predictors in our workflow.

```scala
val passengerFeatures: FeatureLike[Vector] = Seq(
val passengerFeatures: FeatureLike[OPVector] = Seq(
pClass, name, sex, age, sibSp, parCh, ticket,
cabin, embarked, familySize, estimatedCostOfTickets, normedAge
cabin, embarked, familySize, estimatedCostOfTickets, normedAge,
pivotedSex, ageGroup
).transmogrify()
```
Expand Down Expand Up @@ -146,6 +146,8 @@ val workflow =
When we now call 'train' on this workflow, it automatically computes and executes the entire DAG of Stages needed to compute the features ```survived, prediction, rawPrediction```, and ```prob```, fitting all the estimators on the training data in the process. Calling ```score``` on the fitted workflow then transforms the underlying training data to produce a DataFrame with the all the features manifested. The ```score``` method can optionally be passed an evaluator that produces metrics.

```scala
import com.salesforce.op.evaluators.Evaluators

// Fit the workflow to the data
val fittedWorkflow = workflow.train()

Expand Down