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. ...
pandas>=0.19.2 matplotlib>=3.1.3 scikit-learn>=0.23.0 pip install gaminet To use it on GPU, conda install tensorflow==2.2, pip install tensorflow-lattice==2.0.8, conda install tensorflow-estimators==2.2 Usage Import library importosimportnumpyasnpimporttensorflowastffromsklearn.preprocessingimport...
Answer to: Explain, with examples, how the loss or introduction of a single species can have conservation consequences throughout a whole...
Population: A population, in Biology, is a group of organisms that all belong to one species (can interbreed and produce reproductively viable offspring) that occupy the same geographic region at the same time. Answer and Explanation:1 Explain two ways to restore the Florida Panther populatio...
Explain the concept of ecosystem services, provide some examples of how various wildlife species facilitate ecosystem services. What are some pros and cons of wildlife management agencies shifting their objectives away from wildlife popu...
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. ...
Explain the concept of ecosystem services, provide some examples of how various wildlife species facilitate ecosystem services. What are some pros and cons of wildlife management agencies shifting their objectives away from wildlife...
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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)...