Im Versuch Keras zu verwenden (Sequential), aber ich bekomme die folgende Fehlermeldung, wenn ich versuche, es zu importieren:Attribute: ‚Modul‘ Objekt hat kein Attribut ‚Berechnung‘
File "kaggle_titanic_keras.py", line 3, in <module>
from keras.models import Sequential
File "/anaconda/lib/python2.7/site-packages/keras/__init__.py", line 4, in <module>
from . import applications
File "/anaconda/lib/python2.7/site-packages/keras/applications/__init__.py", line 1, in <module>
from .vgg16 import VGG16
File "/anaconda/lib/python2.7/site-packages/keras/applications/vgg16.py", line 14, in <module>
from ..models import Model
File "/anaconda/lib/python2.7/site-packages/keras/models.py", line 14, in <module>
from . import layers as layer_module
File "/anaconda/lib/python2.7/site-packages/keras/layers/__init__.py", line 4, in <module>
from ..engine import Layer
File "/anaconda/lib/python2.7/site-packages/keras/engine/__init__.py", line 8, in <module>
from .training import Model
File "/anaconda/lib/python2.7/site-packages/keras/engine/training.py", line 24, in <module>
from .. import callbacks as cbks
File "/anaconda/lib/python2.7/site-packages/keras/callbacks.py", line 25, in <module>
from tensorflow.contrib.tensorboard.plugins import projector
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/__init__.py", line 30, in <module>
from tensorflow.contrib import factorization
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/factorization/__init__.py", line 24, in <module>
from tensorflow.contrib.factorization.python.ops.gmm import *
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/factorization/python/ops/gmm.py", line 27, in <module>
from tensorflow.contrib.learn.python.learn.estimators import estimator
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/__init__.py", line 87, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/__init__.py", line 23, in <module>
from tensorflow.contrib.learn.python.learn import *
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/__init__.py", line 25, in <module>
from tensorflow.contrib.learn.python.learn import estimators
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/__init__.py", line 297, in <module>
from tensorflow.contrib.learn.python.learn.estimators.dnn import DNNClassifier
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn.py", line 29, in <module>
from tensorflow.contrib.learn.python.learn.estimators import dnn_linear_combined
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn_linear_combined.py", line 31, in <module>
from tensorflow.contrib.learn.python.learn.estimators import estimator
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/estimators/estimator.py", line 49, in <module>
from tensorflow.contrib.learn.python.learn.learn_io import data_feeder
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/learn_io/__init__.py", line 21, in <module>
from tensorflow.contrib.learn.python.learn.learn_io.dask_io import extract_dask_data
File "/anaconda/lib/python2.7/site-packages/tensorflow/contrib/learn/python/learn/learn_io/dask_io.py", line 26, in <module>
import dask.dataframe as dd
File "/anaconda/lib/python2.7/site-packages/dask/dataframe/__init__.py", line 3, in <module>
from .core import (DataFrame, Series, Index, _Frame, map_partitions,
File "/anaconda/lib/python2.7/site-packages/dask/dataframe/core.py", line 38, in <module>
pd.computation.expressions.set_use_numexpr(False)
AttributeError: 'module' object has no attribute 'computation'
Im Python läuft 2.7, TensorFlow 1.1 , Keras 2.0.3 und "upgegraded" zu Pandas 0.20.1 gestern, von dem ich vermute, dass es das Problem verursacht, aber die Fehlermeldung sagt nichts darüber aus.
Wie hast du 'Pandas' aktualisiert? Bist du sicher, dass dein Python von Anaconda darauf zugreifen kann? – Dadep
Ich habe Conda und Pip verwendet. Ich habe gerade .__ version__ verwendet, um die Pandas-Version zu überprüfen, auf die zugegriffen wurde, und sie kam mit 0,20.1 – Greg
zurück. Dies liegt an der neuen Version von Pandas (0.20.1). Eine neue Version von DASK kam am Freitag heraus, um Dinge zu reparieren, die in der neuen Pandas-Version einbrachen. Aktualisieren von dask auf 0.14.3 sollte Ihren Fehler beheben. –