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TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

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Snyk has created this PR to upgrade com.googlecode.libphonenumber:carrier from 1.72 to 1.164. :information_source: Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify...

cla:signed

Snyk has created this PR to upgrade org.scala-lang:scala-library from 2.11.12 to 2.13.7. :information_source: Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify...

cla:signed

Snyk has created this PR to upgrade com.fasterxml.jackson.dataformat:jackson-dataformat-yaml from 2.7.3 to 2.13.0. :information_source: Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify...

cla:signed

Snyk has created this PR to upgrade com.googlecode.libphonenumber:libphonenumber from 8.8.5 to 8.12.38. :information_source: Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify...

cla:signed

Snyk has created this PR to upgrade com.googlecode.libphonenumber:geocoder from 2.82 to 2.174. :information_source: Keep your dependencies up-to-date. This makes it easier to fix existing vulnerabilities and to more quickly identify...

cla:signed

**Related issues** https://github.com/salesforce/TransmogrifAI/issues/336 https://github.com/salesforce/TransmogrifAI/issues/332 **Describe the proposed solution** Upgrade to Scala 2.12 and Spark 3 **Describe alternatives you've considered** Living in the past, suffering from security issues and missing out...

cla:missing
work in progress
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In conversion from data type to OP type and back, the FeatureSparkTypes class in TMOG converts Int data to Long. This causes failures downstream when the types do not match...

cla:signed

**Describe the bug** Exception in thread "main" java.lang.AbstractMethodError **To Reproduce** ./gradlew -q sparkSubmit -Dmain=com.salesforce.hw.OpTitanicSimple -Dargs="\ `pwd`/src/main/resources/TitanicDataset/TitanicPassengersTrainData.csv" **Expected behavior** Successfully run this example **Logs or screenshots** Exception in thread "main" java.lang.AbstractMethodError...

investigation required

**Related issues** [Issue](https://github.com/salesforce/TransmogrifAI/issues/556) **Describe the proposed solution** Using (1, 0) instead of (0, 0) for null default value. **Describe alternatives you've considered** Alternatives do not only concern this transformer but...

cla:missing
ready for review

When I use Titan tests I get different and very different estimates each time. Does random seeding have that much of an impact?