ArturIndio opened a new issue #7446: format input data using mx.rnn URL: https://github.com/apache/incubator-mxnet/issues/7446 [data_ex_git.zip](https://github.com/apache/incubator-mxnet/files/1220978/data_ex_git.zip) I've trying to forecast time-series using mx.rnn model but I can't shape the data to input format asked from mx.rnn. I want do predict a variable Q_t using some past values from itself and another variables. Using mx.model.FeedForward.create is very easy to define. I can't understand the "labels" input on mx.rnn model. This is my code: ``` load("data_ex_git.RData") # attached train <- data[1:dias_train,] test <- data[(dias_train+1):nrow(data),] # Neural net fitting # Scaling data for the NN maxs <- apply(data, 2, max) mins <- apply(data, 2, min) scaled <- as.data.frame(scale(data, center = mins, scale = maxs - mins)) train_ <- scaled[1:dias_train,] test_ <- scaled[(dias_train+1):nrow(data),] library(mxnet) train.x <- data.matrix(train_[,-1]) train.y <- train_[,1] test.x <- data.matrix(test_[,-1]) test.y <- test_[,1] X.train <- list(data=t(train.x), label=t(train.y)) X.val <- list(data=t(test.x), label=t(test.y)) batch.size = 5 seq.len = 5 num.hidden = 3 num.embed = 3 num.rnn.layer = 1 num.lstm.layer = 1 num.round = 1 update.period = 1 learning.rate= 0.1 wd=0.00001 clip_gradient=1 mx.set.seed(0) model <- mx.rnn(X.train, NULL, num.rnn.layer=num.rnn.layer, seq.len=seq.len, num.hidden=num.hidden, num.embed=num.embed, num.label=5, batch.size=batch.size, input.size=5, ctx = mx.cpu(), num.round = num.round, update.period = update.period, initializer = mx.init.uniform(0.01), dropout = 0, optimizer = "sgd", batch.norm = FALSE, learning.rate=learning.rate, wd=wd, clip_gradient=clip_gradient) preds = predict(model,t(test.x)) ``` That's my error: `[19:10:06] d:\program files (x86)\jenkins\workspace\mxnet\mxnet\src\operator\tensor\./matrix_op-inl.h:141: Using target_shape will be deprecated. [19:10:06] d:\program files (x86)\jenkins\workspace\mxnet\mxnet\src\operator\tensor\./matrix_op-inl.h:141: Using target_shape will be deprecated. [19:10:06] d:\program files (x86)\jenkins\workspace\mxnet\mxnet\src\operator\tensor\./matrix_op-inl.h:141: Using target_shape will be deprecated. [19:10:06] D:\Program Files (x86)\Jenkins\workspace\mxnet\mxnet\dmlc-core\include\dmlc/logging.h:308: [19:10:06] D:\Program Files (x86)\Jenkins\workspace\mxnet\mxnet\src\ndarray\ndarray.cc:329: Check failed: from.shape() == to->shape() operands shape mismatchfrom.shape = (5,14) to.shape=(5,5) Error in exec$update.arg.arrays(arg.arrays, match.name, skip.null) : [19:10:06] D:\Program Files (x86)\Jenkins\workspace\mxnet\mxnet\src\ndarray\ndarray.cc:329: Check failed: from.shape() == to->shape() operands shape mismatchfrom.shape = (5,14) to.shape=(5,5)` ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
With regards, Apache Git Services
