estimator.cuda()
时间: 2023-10-28 13:38:49 浏览: 70
This line of code suggests that an estimator object is being transferred or loaded onto a CUDA-enabled device. This is likely part of a larger process of using a machine learning library or framework that supports GPU acceleration for faster computation. By utilizing the parallel processing power of GPUs, the estimator can potentially train and predict on larger datasets and more complex models in a shorter amount of time.
相关问题
rmse, estimator.coef_[0][1][2][3], estimator.intercept_[0], estimator.intercept_[0], estimator.intercept_[0], IndexError: invalid index to scalar variable.
这个错误的原因是`estimator.intercept_`是一个一维数组,不能使用`[1]`和`[2]`这样的索引,而应该只使用`[0]`这个索引。你可以将代码中的`estimator.intercept_[1]`和`estimator.intercept_[2]`都改为`estimator.intercept_[0]`,如下所示:
```python
title += "RMSE = {:.2f}, estimator.coef_ = {:.2f}%, {:.2f}%, {:.2f}%, {:.2f}%, estimator.intercept_ = {:.2f}%".format(rmse, estimator.coef_[0][1][2][3], estimator.intercept_[0], estimator.intercept_[0], estimator.intercept_[0], estimator.intercept_[0])
```
这样就可以正确地将RMSE、回归系数和偏置系数等信息添加到图表的标题中了。
rmse, estimator.coef_[0][1][2][3], estimator.intercept_[0], estimator.intercept_[1], estimator.intercept_[2], IndexError: invalid index to scalar variable.
这个错误的原因是`estimator.intercept_`是一个一维数组,不能使用`[1]`和`[2]`这样的索引,而应该只使用`[0]`这个索引。你可以将代码中的`estimator.intercept_[1]`和`estimator.intercept_[2]`改为`estimator.intercept_[0]`,如下所示:
```python
title += "RMSE = {:.2f}, estimator.coef_ = {:.2f}%, {:.2f}%, {:.2f}%, {:.2f}%, estimator.intercept_ = {:.2f}%".format(rmse, estimator.coef_[0][1][2][3], estimator.intercept_[0], estimator.intercept_[0], estimator.intercept_[0])
```
这样就可以正确地将RMSE、回归系数和偏置系数等信息添加到图表的标题中了。