dfencoder AttributeError: 'BasicLogger' object has no attribute 'show_embeddings'

[jasonhuxinlei]

I encountered a problem, and the error was reported as follows:

Traceback (most recent call last): File "/Users/huxinlei/PycharmProjects/dfencoder/markting.py", line 34, in model.fit(X_train, epochs=1000, val=X_val) File "/Users/huxinlei/anaconda/anaconda3/envs/dfencoder/lib/python3.6/site-packages/dfencoder/autoencoder.py", line 616, in fit self.logger.show_embeddings(self.categorical_fts) AttributeError: 'BasicLogger' object has no attribute 'show_embeddings'

My environment is as follows: python3.6

My code is as follows: initial_df = pd.read_csv(r'/Users/huxinlei/Desktop/feature_engineer_data.csv') positive_sample_df = initial_df.loc[initial_df['lable']==1]

train = positive_sample_df.sample(frac=.8, random_state=42) test = positive_sample_df.loc[~positive_sample_df.index.isin(train.index)]

X_train = train X_val = test

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, 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=Xval)

Why do I encounter this problem, and how can I solve this problem?

[Dev-Jahn]

set project_embedding param to False

[jasonhuxinlei]

set project_embedding param to False

that's ok . thank you very much