with direct speech ‘It's a device of great age,’ the professor explained “这是一个极为古老的机械装置,"教授解释说。 with object he explained the situation 他说明了情况。 Example sentencesExamples Call the company, explain the situation and give an estimate of the time you will arrive. We...
fit(X_train, y_train) # or substitute with LogisticRegression, DecisionTreeClassifier, RuleListClassifier, ... # EBM supports pandas dataframes, numpy arrays, and handles "string" data natively. Understand the model from interpret import show ebm_global = ebm.explain_global() show(ebm_global)...
# max_num_of_augmentations is optional and defines max number of times we can increase the input data size. # LGBMExplainableModel can be replaced with LinearExplainableModel, SGDExplainableModel, or DecisionTreeExplainableModel explainer = MimicExplainer(model, x_train, LGBMExplainableModel, augment...
What 3 concepts are most important to remember about the concept of measurement? Why, in your view, are these the most important things? Be sure to give examples with each of these to illustrate your What is the advantage of the block design?
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How do they relate to decision-making? Explain the concept of error and uncertainty as it relates to decision making. Describe how to model decisions involving uncertainty. Describe how uncertainty is modeled mathematically in statistics. Explain the components of a decision tree and...
I supplemented that by working a bit for my friend Justus Poehls’ tree service. Right around that time I was invited on the Rooted Wisconsin podcast, hosted by one of my college instructors who I’d really gotten along with, Brad Zima. The interview well covers where my head was at at...
importDecisionTreeExplainableModel# "features" and "classes" fields are optional# augment_data is optional and if true, oversamples the initialization examples to improve surrogate model accuracy to fit original model. Useful for high-dimensional data where the number of rows is less than the ...
The caseNear v. Minnesotais a landmark United States Supreme Court decision that found that prior restraints on publication violate freedom of the press as protected under theFirst Amendment to the United States Constitution, a principle that was applied to free speech generally in subsequent jurispr...
frominterpret.glassboximportExplainableBoostingClassifierebm=ExplainableBoostingClassifier()ebm.fit(X_train,y_train)# or substitute with LogisticRegression, DecisionTreeClassifier, RuleListClassifier, ...# EBM supports pandas dataframes, numpy arrays, and handles "string" data natively. ...