This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...

In this paper, two methods for short-term load forecasting are compared; namely, artificial neural networks (ANNs) and multiple linear regression (MLR). Only input features that had a very large ...

The demo creates a linear support vector regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, ...

linear-tree is developed to be fully integrable with scikit-learn. LinearTreeRegressor and LinearTreeClassifier are provided as scikit-learn BaseEstimator to build a decision tree using linear ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac {1} {2}x^TQx + c^Tx \qquad \textrm {s.t.}~ \quad L \leq Ax ...