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