C Liu (@1.36) vs C Scala (@2.87)

Our Prediction:

C Liu will win

C Liu – C Scala Match Prediction | 12-09-2019 10:00

As it turns out, other current explanation models follow this same explanation model, allowing them to all be unified into a singular framework. By summing all these effects and their features, we can approximate the output of the original model. This is defined as an additive feature attribution method. Breaking down g(z) a little more, we attribute some effect to each feature z.

Typically when using this technique, your method will expect an instance that inherits from a base class or trait, and then your case statements will reference subtypes of that base type. The following code shows a more obvious example of this technique. This was inferred in the echoWhatYouGaveMe method, where every Scala type is a subtype of Any.

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Please check what games is bet365 streaming by using the player above. If you are a registered member you can watch Magdalena Frech vs Claire Liu video highlights are welcome from visitors in case the live broadcast link is broken. On Extratips.com you can watch the Magdalena Frech vs Claire Liu match that starts at 17:45 on 08 August 2019. We can not be held responsible for third party video content so please forward any claims to video file owners. Bet365 could be streaming this event live.

The first Some example shows that you can match a Some with the approach shown, but you cant access its information on the righthand side of the expression. When its matched by the second println call, it prints Some(foo), demonstrating that you now have access to the Some object. The second example shows how you can access the value inside the Some, and the third example takes this a step further, giving you access to the Some object itself.

Ultimately, it indexes the scores in an Array and returns it along with the best answer. Note it is only slightly different from the original method, it just calculates the logistic as a function of the input features. It also defines some vals and vars that are originally private and included outside of this method.

As you read along, you will notice that the main theme is interpretability, and why it is so imperative for machine learning. SHAP is the culmination of several different current explanation models, and represents a unified framework for interpreting model predictions, by assigning each feature an importance value. One of my favorite libraries is SHAP, an indispensable tool for explaining the outputs generated by machine learning models. In turn, these importance values can be plotted, and used to produce beautiful visualizations that are easily interpretable by anyone.

This was not shown in the large match example in the Solution its discussed in detail in Recipe 3.10, Accessing the Value of the Default Case in a Match Expression but a variable pattern matches any object just like the _ wildcard character. Scala binds the variable to whatever the object is, which lets you use the variable on the right side of the case statement.