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awslabs / datawig

Imputation of missing values in tables.
Apache License 2.0
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AttributeError: module 'mxnet' has no attribute 'random' #95

Closed imadeit closed 4 years ago

imadeit commented 5 years ago

Thanks for sharing amazing project. I tried to run the first example provided in the README, by calling import datawig I just get errors.

AttributeError Traceback (most recent call last)

in ----> 1 import datawig 2 3 df = datawig.utils.generate_df_string(num_samples=200, data_column_name='sentences', label_column_name='label') 4 df_train, df_test = datawig.utils.random_split(df) 5 ~/Development/repos/AWS/MBA/datawig/datawig/__init__.py in 1 # makes the column encoders available as e.g. `from datawig import CategoricalEncoder` ----> 2 from .column_encoders import CategoricalEncoder, BowEncoder, NumericalEncoder, SequentialEncoder 3 from .mxnet_input_symbols import BowFeaturizer, LSTMFeaturizer, NumericalFeaturizer, EmbeddingFeaturizer 4 from .simple_imputer import SimpleImputer 5 from .imputer import Imputer ~/Development/repos/AWS/MBA/datawig/datawig/column_encoders.py in 30 from sklearn.preprocessing import StandardScaler 31 ---> 32 from .utils import logger 33 34 random.seed(0) ~/Development/repos/AWS/MBA/datawig/datawig/utils.py in 32 import pandas as pd 33 ---> 34 mx.random.seed(1) 35 random.seed(1) 36 np.random.seed(42) AttributeError: module 'mxnet' has no attribute 'random' -------- Should I setup any conda env. for specific version of mxnet?
felixbiessmann commented 5 years ago

which mxnet version is that? was datawig installed with pip?