Problem with py_call_imp function on R

Keras
#1

Following the code of a neural network based on the dataset “trees”

alberi = keras_model_sequential() %>%
layer_dense(units = 5, activation = “sigmoid”, input_shape = 2) %>%
layer_dense(units = 5, activation = “sigmoid”) %>%
layer_dense(units = 1, activation = “linear”)

summary(alberi)

alberi %>% compile(
optimizer = “adam”,
loss = “mse”,
metrics = “accuracy”
)

storia = alberi %>% fit(
x = trees[,2:3],
y = trees$Girth,
epochs = 10
)

It returns me the following error:

Error in py_call_impl(callable, dots$args, dots$keywords) :
ValueError: in user code:

File "C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py", line 1021, in train_function  *
    return step_function(self, iterator)
File "C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py", line 1010, in step_function  **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
File "C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py", line 1000, in run_step  **
    outputs = model.train_step(data)
File "C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py", line 859, in train_step
    y_pred = self(x, training=True)
File "C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\utils\traceback_utils.py", line 67, in error_handler
    raise e.with_traceback(filtered_tb) from None
File "C:\Users\HP\AppData\Local\R-MINI~1\

Someone could help me?

R Error in py_call_impl error
#2

Trying to fit a neural network using dataset “trees”:

alberi = keras_model_sequential() %>%
*** layer_dense(units = 5, activation = “sigmoid”, input_shape = c(2)) %>%***
*** layer_dense(units = 5, activation = “sigmoid”) %>%***
*** layer_dense(units = 1, activation = “linear”)***

summary(alberi)

alberi %>% compile(
*** optimizer = “adam”,***
*** loss = “mse”,***
*** metrics = “accuracy”***
)

storia = alberi %>% fit(
*** x = trees[,2:3],***
*** y = trees$Girth,***
*** epochs = 10***
)

It returns me this error :

Error in py_call_impl(callable, dots$args, dots$keywords) : ***
*** ValueError: in user code:

*** File “C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py”, line 1021, in train_function ****
*** return step_function(self, iterator)***
*** File “C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py”, line 1010, in step_function *****
*** outputs = model.distribute_strategy.run(run_step, args=(data,))***
*** File “C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py”, line 1000, in run_step *****
*** outputs = model.train_step(data)***
*** File “C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\engine\training.py”, line 859, in train_step***
*** y_pred = self(x, training=True)***
*** File “C:\Users\HP\AppData\Local\R-MINI~1\envs\R-RETI~1\lib\site-packages\keras\utils\traceback_utils.py”, line 67, in error_handler***
*** raise e.with_traceback(filtered_tb) from None***
*** File "C:\Users\HP\AppData\Local\R-MINI~1***

Some could help me please? I’m desperate

#4

I’m facing the exact same problem. Hoping to get an answer soon