model

问题 I am developing application using Node.js and Express framework. I found many examples of modeling data using MongoDB, but my project requires SQL database. Could someone make simple explanation, what is the best way to make models based on MySQL? Also I am wondering how to provide later validation of those models. Maybe I should define validation attributes inside each of them? 回答1: There is no best way to make models based on MySQL. You could implement your own way to handle models, but

问题 Lets say i have 3 response variables A,C and M and i want to fit a model for all possible models ie fit Y ~ A, Y ~ C, Y ~ M, Y ~ A * C, Y ~ A * M, Y ~ C * M, etc. Is there a quick way to do this without manually specifiying the interactions each time? i do not want to write M1 = glm(Y ~ A , data = subs, family = "poisson") M2 = glm(Y ~ C , data = subs, family = "poisson") M3 = glm(Y ~ M , data = subs, family = "poisson") M4 = glm(Y ~ A*C , data = subs, family = "poisson") ... In reality i

问题 I am trying to access the same shared model within two different view models. Both associated views need to access the model within the view model and need to edit the model. So I can't just use the EnvironmentObject to access the model. I could pass the model to the view model through the view, but this wouldn't keep both model versions in sync. Is there something that could work like binding? Because with binding I can access the model but then it won't publish the changes in this view.

问题 I am trying to access the same shared model within two different view models. Both associated views need to access the model within the view model and need to edit the model. So I can't just use the EnvironmentObject to access the model. I could pass the model to the view model through the view, but this wouldn't keep both model versions in sync. Is there something that could work like binding? Because with binding I can access the model but then it won't publish the changes in this view.

问题 I was wondering if the functionality given by Weka of building Model trees like M5P which has regression models in the leaves is possible in R. I know there is a way to handle it using the RWeka package. What was somehow strange to me is that the functionality does not exist in other R packages like rpart. The only way to get a "Model Tree" is using the Rweka package? Thanks for clarification. 回答1: Please check cubist and CORElearn packages. 来源： https://stackoverflow.com/questions/16153259/r

问题 I am using Rails 5.2 for my application and sidekiq for processing the background job. class Document < ApplicationRecord has_many :document_jobs end class DocumentJob < ApplicationRecord belongs_to :document def self.create_document_job(document, status, details) document.document_jobs.create(status: status, details: details, user_id: user_id) end def self.update_document_job(document_job, status, details) document_job.update(status: status, details: details) end end I want to get the

问题 I am trying to compute the micro F measure for a prediction my model did. I trained the model using word2vec Vectors with Keras and Tensorflow. I use the scikit library to compute the mirco F measure. But the function throws this message: ValueError: Classification metrics can't handle a mix of multilabel-indicator and continuous-multioutput targets Also, am i doing the prediction right? I trained the model on x_train(wordVectors) and y_train(resultVectors) and validated with x_test and y

问题 Is there any way to alter my Model properties from a javascript function inside a view? Specifically, I have an edit view and need to access a string property value with function SomeJSFunction() { var somevar = '<%=Model.Property %>'; ... then do some changes on somevar and set the model property to the changed string. I'm doing a submit at this point, so it's not a question of dealing with the display, just need to alter the model from inside the function before I submit. I know I could

问题 I have a big model defined using Tensorflow 2 with Keras. The model works well in Python. Now, I want to import it into C++ project. Inside my C++ project, I use TF_GraphImportGraphDef function. It works well if I prepare *.pb file using the following code: with open('load_model.pb', 'wb') as f: f.write(tf.compat.v1.get_default_graph().as_graph_def().SerializeToString()) I've tried this code on a simple network written using Tensorflow 1 (using tf.compat.v1.* functions). It works well. Now I

问题 I have two classes say Animal & AnimalDto I want to use ModelMapper to convert Entity to DTO and vice verca. But the classes are supposed to have different data types for a few attributes having similar name. How do I achieve this? Animal.java public class Animal { int category; String color; int age; } AnimalDto.java public class AnimalDto { String category; int color; int age; } currently I'm manually transforming as such: class AnimalTransformer { private static Category[] categories =