compile function does not work

[Mhrbnn]

I have tried building keras model and then I got this problem which I cannot solve. Can you provide solution about this problem?

model <- compile(model, loss = loss, optimizer = optimizer, metrics = metrics)
Error in UseMethod("compile") :
no applicable method for 'compile' applied to an object of class "c('keras.src.models.sequential.Sequential', 'keras.models.sequential.Sequential', 'keras.src.models.model.Model', 'keras.models.model.Model', 'keras.src.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.src.trainers.trainer.Trainer', 'keras.trainers.trainer.Trainer', 'keras.src.layers.layer.Layer', 'keras.layers.layer.Layer', 'keras.src.backend.tensorflow.layer.TFLayer', 'keras.backend.tensorflow.layer.TFLayer', 'keras.src.backend.tensorflow.trackable.KerasAutoTrackable', 'keras.backend.tensorflow.trackable.KerasAutoTrackable', 'tensorflow.python.trackable.autotrackable.AutoTrackable', 'tensorflow.python.trackable.base.Trackable', 'keras.src.ops.operation.Operation', 'keras.ops.operation.Operation', 'keras.src.saving.keras_saveable.KerasSaveable', 'keras.saving.keras_saveable.KerasSaveable', 'python.builtin.object')"

[t-kalinowski]

I believe this was fixed with the last release of keras. Can you please run update.packages()? Does the issue go away?

[Mhrbnn]

#install packages for deep learning model
install.packages("keras")
install.packages("tensorflow")
library(tensorflow)
tensorflow::install_tensorflow()
library(keras)
install.packages("keras")
install.packages("tensorflow")
library(tensorflow)
tensorflow::install_tensorflow()
library(keras)
update.packages()

Define input shape for timesteps and features

input_shape <- c(timesteps, features)

Create the input layer

inputs <- layer_input(shape = input_shape)

Define input shape

timesteps <- 10 # Replace with your actual timestep value
features <- 20 # Replace with your actual feature count

Define the model sequence

model <- keras_model_sequential()
model <- keras_model(
sequential() %>%
# LSTM layer with 64 units, returning sequences, and specified input shape
layer(lstm(units = 64, return_sequences = TRUE, input_shape = c(timesteps, features))) %>%
# LSTM layer with 32 units
layer(lstm(units = 32)) %>%
# Flatten layer
layer(flatten()) %>%
# Dense layer with 1 unit (output layer)
layer(dense(units = 1))
)

Compile the model (assuming you have defined loss and optimizer functions)

model %>% compile(loss = loss_function, optimizer = optimizer)

thank you so much for answer my codes create problem :> model <- keras_model(

• sequential() %>%

• # LSTM layer with 64 units, returning sequences, and specified input shape
  

• layer(lstm(units = 64, return_sequences = TRUE, input_shape = c(timesteps, features))) %>%
  

• # LSTM layer with 32 units
  

• layer(lstm(units = 32)) %>%
  

• # Flatten layer
  

• layer(flatten()) %>%
  

• # Dense layer with 1 unit (output layer)
  

• layer(dense(units = 1))
  

• )
  Error in layer(., dense(units = 1)) : could not find function "layer"

Compile the model (assuming you have defined loss and optimizer functions)

model %>% compile(loss = loss_function, optimizer = optimizer)
Error in UseMethod("compile") :
no applicable method for 'compile' applied to an object of class "c('keras.src.models.sequential.Sequential', 'keras.models.sequential.Sequential', 'keras.src.models.model.Model', 'keras.models.model.Model', 'keras.src.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.backend.tensorflow.trainer.TensorFlowTrainer', 'keras.src.trainers.trainer.Trainer', 'keras.trainers.trainer.Trainer', 'keras.src.layers.layer.Layer', 'keras.layers.layer.Layer', 'keras.src.backend.tensorflow.layer.TFLayer', 'keras.backend.tensorflow.layer.TFLayer', 'keras.src.backend.tensorflow.trackable.KerasAutoTrackable', 'keras.backend.tensorflow.trackable.KerasAutoTrackable', 'tensorflow.python.trackable.autotrackable.AutoTrackable', 'tensorflow.python.trackable.base.Trackable', 'keras.src.ops.operation.Operation', 'keras.ops.operation.Operation', 'keras.src.saving.keras_saveable.KerasSaveable', 'keras.saving.keras_saveable.KerasSaveable', 'python.builtin.object')"

[Mhrbnn]

Thank you for helping, I got solution based on your recommendation.