labeled inputs. The target label is a composite of the inputs that were combined. A combination of a dog with a hamster image (figure 3-5) is assigned a composite [dog, hamster] label! 2 A whale’s tail learn and compete on AI problems. Figure 3-5: A mixed composite of a dog (30%) and a hamster (70%). The label assigned to this image is a composite of the two classes in the same proportion. Thus, the transformation leverages the symmetric nature of flowers to augment the dataset. We create a layer composite of random flip and rotation. Then, we map each image through this layer to apply the transform.

Assessment Google / NCC Group Confidential Table of Findings For each finding, NCC Group uses a composite risk score that takes into account the severity of the risk, application’s exposure and user population risk rating and category assigned to issues NCC Group identified. Risk Scale NCC Group uses a composite risk score that takes into account the severity of the risk, application’s exposure and user population

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

table. It can go wrong in most real-world cases. For example, the join relation is a convergent but composite operation rather than a single table scan. In this case, Spark might not be able to switch the join-strategy join-strategy to BroadcastHash Join. While with AQE, we can runtime calculate the size of the composite operation accurately. And then, Spark now can replan the join strategy unmistakably if the size fits

built-in type system which supports: • basic types, i.e., String, Long, Integer, Boolean, Array • composite types: Tuples, POJOs, and Scala case classes • Kryo for unknown types Type Examples Tuples

Window Tumble Window Join(S1.A = S2.A) S1 S2 7 Vasiliki Kalavri | Boston University 2020 Composite subscription pattern language A(X>0) & (B(Y=10);[timespan:5] C(Z<5))[within:15] A, B, C are topics