model

问题 I have 3 linear regression models built using the mtcars and would like to use those models to generate predictions for each rows of the mtcars tables. Those predictions should be added as additional columns (3 additional columns) of the mtcars dataframe and should be generated in a for loop using the leave one out approach. Furthermore predictions for model1 and model2 should be performed by "grouping" the cyl numbers whiles predictions made with the model 3 should be accomplished without

问题 I have 3 linear regression models built using the mtcars and would like to use those models to generate predictions for each rows of the mtcars tables. Those predictions should be added as additional columns (3 additional columns) of the mtcars dataframe and should be generated in a for loop using the leave one out approach. Furthermore predictions for model1 and model2 should be performed by "grouping" the cyl numbers whiles predictions made with the model 3 should be accomplished without

问题 I have 3 linear regression models built using the mtcars and would like to use those models to generate predictions for each rows of the mtcars tables. Those predictions should be added as additional columns (3 additional columns) of the mtcars dataframe and should be generated in a for loop using the leave one out approach. Furthermore predictions for model1 and model2 should be performed by "grouping" the cyl numbers whiles predictions made with the model 3 should be accomplished without

问题 i have the following doubt regarding QTableView , i have added some code that changes the row background depending on what string the dataframe contains on the last column. def data(self, index, role=Qt.DisplayRole): if index.isValid(): if role == Qt.BackgroundRole: if df.iloc[index.row(),5] == "Ready for QC": return QBrush(Qt.yellow) if df.iloc[index.row(),5] == "In Progress": return QBrush(Qt.green) if role == Qt.DisplayRole: return str(self._data.iloc[index.row(), index.column()]) return

问题 i have the following doubt regarding QTableView , i have added some code that changes the row background depending on what string the dataframe contains on the last column. def data(self, index, role=Qt.DisplayRole): if index.isValid(): if role == Qt.BackgroundRole: if df.iloc[index.row(),5] == "Ready for QC": return QBrush(Qt.yellow) if df.iloc[index.row(),5] == "In Progress": return QBrush(Qt.green) if role == Qt.DisplayRole: return str(self._data.iloc[index.row(), index.column()]) return

问题 i have the following doubt regarding QTableView , i have added some code that changes the row background depending on what string the dataframe contains on the last column. def data(self, index, role=Qt.DisplayRole): if index.isValid(): if role == Qt.BackgroundRole: if df.iloc[index.row(),5] == "Ready for QC": return QBrush(Qt.yellow) if df.iloc[index.row(),5] == "In Progress": return QBrush(Qt.green) if role == Qt.DisplayRole: return str(self._data.iloc[index.row(), index.column()]) return

问题 I have this "Jobs Server" model that i'm building. I want to include a field that will save which days of the week this job will run on. Ultimately in the UI, i would like the user to be able to have a series of check boxes(one for each day) that they can select. What would be the best way to represent this "days-of-week" data in my mode? class Job(models.Model): name = models.CharField(max_length=32, unique=True) package = models.ForeignKey(Package) binary = models.ForeignKey(Binary) host =

问题 I read the gensim LDA model documentation about random_state which states that: random_state ({np.random.RandomState, int}, optional) – Either a randomState object or a seed to generate one. Useful for reproducibility. I have been tring put random_state=42 or random_seed=42 state=np.random.RandomState(random_seed) state.randn(1) random_state=state.randn(1) which did not work. Can anyone suggest what should i do model=ldaModel(corpus=corpus, id2word=dictionary, num_topics=num_topics, random

问题 I am creating a model in typescript in mongoose and I would like to use a required function, however unlike normal javascript, I cannot use the 'this' operator as typescript doesn't recognize the scope. I would like to access the value of another one of the objects properties, but I am not sure how to do it. Here is what I am looking for: export interface IUser extends mongoose.Document { name: string; somethingElse?: number; }; export const UserSchema = new mongoose.Schema({ name: {type

问题 suppose I have the following model : sig counter{ value: Int, } { value > 0 value < 3 } pred show{} run show for exactly 1 counter I would like to generate the als files corresponding to the two instances of this model : open counter one sig counter_1 extends counter{}{ value=1 } fact { counter = {counter_1}} and, open counter one sig counter_2 extends counter{}{ value=2 } fact { counter = {counter_2}} I have used the Alloy API to generate the instances but I cant find the method to export