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ef4c5eb65e
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37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
scala_library(
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name = "model_evaluation",
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sources = ["*.scala"],
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platform = "java8",
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strict_deps = False,
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dependencies = [
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"3rdparty/src/jvm/com/twitter/scalding:json",
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"src/scala/com/twitter/ml/api:api-base",
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"src/scala/com/twitter/ml/api/prediction_engine",
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"src/scala/com/twitter/ml/api/util",
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"src/scala/com/twitter/scalding_internal/job",
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"src/scala/com/twitter/timelines/prediction/adapters/recap",
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"src/scala/com/twitter/timelines/prediction/features/recap",
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"timelines/data_processing/ad_hoc/earlybird_ranking/common",
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"timelines/data_processing/util:rich-request",
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"timelines/data_processing/util/example",
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"timelines/data_processing/util/execution",
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"twadoop_config/configuration/log_categories/group/timelines:timelineservice_injection_request_log-scala",
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],
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)
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hadoop_binary(
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name = "bin",
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basename = "earlybird_model_evaluation-deploy",
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main = "com.twitter.timelines.data_processing.ad_hoc.earlybird_ranking.model_evaluation.EarlybirdModelEvaluationJob",
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platform = "java8",
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runtime_platform = "java8",
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tags = [
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"bazel-compatible",
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"bazel-compatible:migrated",
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"bazel-only",
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],
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dependencies = [
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":model_evaluation",
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],
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)
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