TypeError: 'float' object cannot be interpreted as an integer

[Ocalak]

Hey all,

I try to implement FNN model and simple hyper-parameter tuning. Here is the code :

  model <- keras_model_sequential()
  
  # Define the range of hyperparameters
  units <- hp$Int("units", min_value = 32, max_value = 512, step = 32)
  dropout_rate <- hp$Int("dropout", min_value = 0, max_value = 0.5, step = 0.1)
  
  # Add layers to the model
  model %>%
    layer_dense(units = units, activation = "relu", input_shape = ncol(mtrainx),
                kernel_regularizer = regularizer_l1(0.01)) %>%
    layer_batch_normalization() %>%
    layer_dense(units = units, activation = "relu",
                kernel_regularizer = regularizer_l1(0.01)) %>%
    layer_batch_normalization() %>%
    layer_dense(units = units, activation = "relu",
                kernel_regularizer = regularizer_l1(0.01)) %>%
    layer_batch_normalization() %>%
    layer_dense(units = 1)
  
  # Compile the model
  model %>% compile(
    optimizer = tf$keras$optimizers$legacy$Adam(
      learning_rate = hp$Int("learning_rate", min_value = 1e-4, max_value = 1e-2, sampling = "log"),
      beta_1 = 0.9,
      beta_2 = 0.999
    ),
    loss = "mse",
    metrics = list("mae")
  )
  
  return(model)
}

# Initialize the tuner
tuner <- RandomSearch(
  hypermodel = build_model,
  objective = "val_loss",
  max_trials = 1,
  executions_per_trial = 1,
  directory = "my_dir",
  project_name = "my_project"
)
tuner %>% search_summary()

tuner %>% fit_tuner(mtrainx,mtrainy,
                    epochs = 5, validation_data = list(valx,valy)))

Then I got the following error:

Traceback (most recent call last):
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/base_tuner.py", line 274, in _try_run_and_update_trial
    self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/base_tuner.py", line 239, in _run_and_update_trial
    results = self.run_trial(trial, *fit_args, **fit_kwargs)
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/tuner.py", line 306, in run_trial
    for execution in range(self.executions_per_trial):
TypeError: 'float' object cannot be interpreted as an integer

Search: Running Trial #3

Value             |Best Value So Far |Hyperparameter
224               |224               |units
0                 |0                 |dropout
0.0010637         |0.0010637         |learning_rate

Error in py_call_impl(callable, call_args$unnamed, call_args$named) : 
  RuntimeError: Number of consecutive failures exceeded the limit of 3.
Traceback (most recent call last):
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/base_tuner.py", line 274, in _try_run_and_update_trial
    self._run_and_update_trial(trial, *fit_args, **fit_kwargs)
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/base_tuner.py", line 239, in _run_and_update_trial
    results = self.run_trial(trial, *fit_args, **fit_kwargs)
  File "/Users/ocalkaptan/.virtualenvs/r-tensorflow/lib/python3.9/site-packages/keras_tuner/src/engine/tuner.py", line 306, in run_trial
    for execution in range(self.executions_per_trial):
TypeError: 'float' object cannot be interpreted as an integer

Run `reticulate::py_last_error()` for details. ```




Thanks!

[turgut090]

Hello, can you check this part and make changes?

 units <- hp$Int("units", min_value = 32L, max_value = 512L, step = 32L)

[Ocalak]

Hello Turgut, thanks for your answer. I also tried changing hp$Int to hp$Float but I didn't work. I am still having the same error.

Hello, can you check this part and make changes?

 units <- hp$Int("units", min_value = 32L, max_value = 512L, step = 32L)

[turgut090]

Hello Turgut, thanks for your answer. I also tried changing hp$Int to hp$Float but I didn't work. I am still having the same error.

Hello, can you check this part and make changes?

 units <- hp$Int("units", min_value = 32L, max_value = 512L, step = 32L)

Please, reinstall/update package and let me know.

[Ocalak]

Hello Turgut, thanks for your answer. I also tried changing hp$Int to hp$Float but I didn't work. I am still having the same error.

Hello, can you check this part and make changes?

 units <- hp$Int("units", min_value = 32L, max_value = 512L, step = 32L)

Please, reinstall/update package and let me know.

I did that many times too.
I have encountered the same error while using the example code here "https://eagerai.github.io/kerastuneR/" .

Traceback (most recent call last): File "/opt/anaconda3/envs/tf_env_/lib/python3.8/site-packages/keras_tuner/engine/base_tuner.py", line 270, in _try_run_and_update_trial self._run_and_update_trial(trial, *fit_args, **fit_kwargs) File "/opt/anaconda3/envs/tf_env_/lib/python3.8/site-packages/keras_tuner/engine/base_tuner.py", line 235, in _run_and_update_trial results = self.run_trial(trial, *fit_args, **fit_kwargs) File "/opt/anaconda3/envs/tf_env_/lib/python3.8/site-packages/keras_tuner/engine/tuner.py", line 279, in run_trial for execution in range(self.executions_per_trial): TypeError: 'float' object cannot be interpreted as an integer
` ▆

1. ├─tuner %>% ...
2. └─kerastuneR::fit_tuner(...)
3. ├─base::do.call(tuner$search, args)
4. └─reticulate (local) <python.builtin.method>(...)

5. └─reticulate:::py_call_impl(callable, call_args$unnamed, call_args$named)
   

See reticulate::py_last_error()$r_trace$full_call for more details.`

[turgut090]

Please, change code to this:

'''

tuner <- RandomSearch(
hypermodel = build_model,
objective = "val_loss",
max_trials = 1L,
executions_per_trial = 1L,
directory = "my_dir",
project_name = "my_project"
)
'''