Model fitting error

[jasonhuxinlei]

Hello, when I ran the code on my computer, I reported the following error
**model = AutoEncoder(
encoder_layers = [512, 512, 512], #model architecture
decoder_layers = [], #decoder optional - you can create bottlenecks if you like
activation='relu',
swap_p=0.2, #noise parameter
lr = 0.01,
lr_decay=.99,
batch_size=512,
logger='ipynb', #special logging for jupyter notebooks
verbose=False,
optimizer='sgd',
scaler='gauss_rank', #gauss rank scaling forces your numeric features into standard normal distributions
min_cats=3 #Define cutoff for minority categories, default 10
)
model.fit(X_train, epochs=1000, val=X_val)
**

TypeError Traceback (most recent call last)
in
----> 1 model.fit(X_train, epochs=1000, val=X_val)

~\anaconda3\envs\test\lib\site-packages\dfencoder\autoencoder.py in fit(self, df, epochs, val)
556
557 if self.optim is None:
--> 558 self.build_model(df)
559 if self.n_megabatches==1:
560 df = self.prepare_df(df)

~\anaconda3\envs\test\lib\site-packages\dfencoder\autoencoder.py in build_model(self, df)
344
345 #get metadata from features
--> 346 self.init_features(df)
347 input_dim = self.build_inputs()
348

~\anaconda3\envs\test\lib\site-packages\dfencoder\autoencoder.py in init_features(self, df)
250 def init_features(self, df):
251 self.init_numeric(df)
--> 252 self.init_cats(df)
253 self.init_binary(df)
254

~\anaconda3\envs\test\lib\site-packages\dfencoder\autoencoder.py in init_cats(self, df)
220 def init_cats(self, df):
221 dt = df.dtypes
--> 222 objects = list(dt[dt==pd.Categorical].index)
223 for ft in objects:
224 feature = {}

~\anaconda3\envs\test\lib\site-packages\pandas\core\ops\common.py in new_method(self, other)
63 other = item_from_zerodim(other)
64
---> 65 return method(self, other)
66
67 return new_method

~\anaconda3\envs\test\lib\site-packages\pandas\core\ops_init_.py in wrapper(self, other)
368 rvalues = extract_array(other, extract_numpy=True)
369
--> 370 res_values = comparison_op(lvalues, rvalues, op)
371
372 return self._construct_result(res_values, name=res_name)

~\anaconda3\envs\test\lib\site-packages\pandas\core\ops\array_ops.py in comparison_op(left, right, op)
221 # We are not catching all listlikes here (e.g. frozenset, tuple)
222 # The ambiguous case is object-dtype. See GH#27803
--> 223 if len(lvalues) != len(rvalues):
224 raise ValueError(
225 "Lengths must match to compare", lvalues.shape, rvalues.shape

TypeError: object of type 'type' has no len()

[AlliedToasters]

Sorry for the late reply. I'm afraid I can't reproduce your error unless I have access to the data contained in the X_train variable. Would you be able to link to a public source of code where I can reproduce the error? For example, google collab. Thanks!

[pablosteinmetz]

Same problem