print("ytest shape : ", ytest.shape) # Fitting Multi Linear regression model to training model from sklearn.linear_model import LinearRegression regressor = LinearRegression() regressor.fit(xtrain, ytrain) # predicting the test set results y_pred = regressor.predict(xtest) # Plotting Scatter...
' sklearn.LinearRegression.fit(X,Y)\n if sp.issparse(X):#如果X是稀疏矩阵\n if y.ndim < 2:\n out = sparse_lsqr(X, y)\n self.coef_ = out[0]\n self._residues = out[3]\n else:\n # sparse_lstsq cannot handle y with shape (M, K)\n outs = Parallel(n_jobs=n_jobs_)(...
:Creator:Harrison,D.andRubinfeld,D.L. ThisisacopyofUCIMLhousingdataset. http://archive.ics.uci.edu/ml/datasets/Housing ThisdatasetwastakenfromtheStatLiblibrarywhichismaintainedatCarnegieMellonUniversity. TheBostonhouse-pricedataofHarrison,D.andRubinfeld,D.L.'Hedonic pricesandthedemandforcleanair', J....
defload_data():"""Load the Boston dataset."""boston = datasets.load_boston()returnboston 开发者ID:shoc2005,项目名称:P1,代码行数:7,代码来源:boston_housing.py 示例5: test_regressors_train ▲点赞 1▼ deftest_regressors_train():estimators = all_estimators() regressors = [(name, E)forname...
Machine learning (linear regression & kernel-ridge regression) examples on the Boston housing dataset machine-learning julia linear-regression regression supervised-learning introduction boston-housing-price-prediction boston-housing boston-housing-dataset kernel-ridge-regression Updated Dec 13, 2018 Julia ...
BostonHousing.csv2021-03-0848.43KB 文档 Boston dataset predicting the house prices in Boston based on various features in dataset Overview We are predicting the House prices for Boston Dataset based on the various features given. The features are numeric and therefore we apply linear regression algor...
Simple Linear Regression Model implemented by ModelZoo. Installation Firstly you need to clone this repository and install dependencies with pip: pip3 install -r requirements.txt Dataset We use BostonHousing dataset for example. Usage We can run this model like this: python3 train.py Outputs ...
This is a copy of UCI ML housing dataset. http://archive.ics./ml/datasets/Housing This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic ...
This is a copy of UCI ML housing dataset. https://archive.ics.uci.edu/ml/machine-learning-databases/housing/ This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic ...
import {BostonHousingDataset, featureDescriptions} from'./data';//Some hyperparameters for model training.//模型训练的超参数,通常情况下超参数是我们能直接调整的参数,而权重参数是模型在训练过程中通过反向//传播来不断优化并自动调整的。//除了下面列出的常量,模型的层的单元数、内核初始化函数和激活函数等...