ctrain | 京津城际可视化 - # # 目录结构 jslib/ // 类库目录 index | JSON Processing library

Very new to R and RStudio and the whole concept of coding language. I'm trying to create reproducible code so I can properly ask a question.

The first error says:

Error in colSums(cTrain * log(pTrain) + cCar * log(pCar) + cSM * log(pSM)) : 'x' must be an array of at least two dimensions

Using this code, where can I fix this so that 'x' can have two dimensions?

I am not able to get ROC function to work, I get the error "Predictor must be numeric or ordered".

I've looked through other posts, but nothing solves my problem. Any help is highly appreciated.

I'm trying implement DDPG in Tensorflow. The action space is continuous with upper bound P_max and lower bound P_min. Based on this paper, the inverting gradients is a good approach for continuous action space. However, I get stucked when update the actor network. I'll go through my code in the following.

First, I build placeholder for state, next_state, and reward. Where S_DIM is the state dimension.

I am training a NN with sigmoid layers stacked one on top of the other. I have labels associated with each layer and I would like to alternate between training towards minimizing the loss for the first layer and minimizing the loss on the second layer. I expect that the result I get on the first layer would not change regardless whether I train for the second layer or not. However, I do get significant difference. What am I missing?

Here is the code: