I installed Gensim in python3
when I call gensim I got this error. Can someone help?
>>> import gensim
AttributeError: 'tuple' object has no attribute 'type'
Related
i try to run python code and i get the error:
attributeError: module 'keras.backend' has no attribute 'get_session'
i tried to search here and on network, i did not find anything.
tensorflow 2.2.0
keras 2.4.3
python 3.6.9
TNX
I am trying to use the object detection tutorial from tensor flow api. I am using python 3 and tensor flow version 2. But getting the below error.I tried several ways:
File "C:\Aniruddhya\object_detection\object_detection\utils\label_map_util.py", line 137, in load_labelmap
with tf.gfile.GFile(path, 'r') as fid:
AttributeError: module 'tensorflow' has no attribute 'gfile'
can someone help me to run this?
code link: https://drive.google.com/drive/u/3/folders/1XHpnr5rsENzOOSzoWNTvRqhEbLKXaenL
It's not called that in TensorFlow 2. You might be using a TensorFlow 1 tutorial.
Version 1
tf.gfile.GFile
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/io/gfile/GFile
Version 2
tf.io.gfile.GFile
https://www.tensorflow.org/api_docs/python/tf/io/gfile/GFile
If you have Tensorflow version 2. You can use the next module compatible with the version 1, too.
import tensorflow.compat.v1 as tf
I solved this problem by reinstalling tensor using the previous version: sudo pip3 install tensorflow==1.14.0
You may optionally downgrade to previous version of tensorflow:
!pip install tensorflow==1.12.0
import tensorflow as tf
print(tf.__version__)
otherwise , make if tf.io.gfile and import tf.io
ml = Sequential()
ml.add(LSTM(64,dropout=0.5, recurrent_dropout=0.5,return_sequences=True))
This is giving me a error: AttributeError: module 'tensorflow' has no attribute 'get_default_graph'.
ml is the name of the model. I am unable to add any layers to a model. Please help.
The dependencies that I am using are:
Tensorflow: 2.0.0-beta1
Keras: 2.2.4
Python: 3.7.3
Upgrade to latest Tensorflow version instead of Beta Version.And use the import functions as mentioned below.
To install:
pip install tensorflow==2.2.0
#OR
pip install --upgrade tensorflow
Importing:
import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import LSTM
ml = Sequential()
ml.add(LSTM(64,dropout=0.5, recurrent_dropout=0.5,return_sequences=True))
Your code should work fine now.
I used ExtraTreesClasifier in Spyder two weeks ago, now I am getting this error:
from sklearn.ensemble import ExtraTreesClassifier
AttributeError: module 'sklearn.tree._tree' has no attribute 'DTYPE'
I upgraded the package, but I still have the problem.
import tensorflow as tf
import numpy as np
feature_columns = [tf.feature_column.numeric_column("x", shape=[1])]
estimator = tf.estimator.LinearRegressor(feature_columns=feature_columns)
My code is above.
Then it shows the error
"AttributeError: module 'tensorflow.python.estimator.estimator_lib' has no attribute 'LinearRegressor'"
Python 3.5.2
Might be you are using older tensorflow version, as tf.estimator.LinearRegressor included with tensorflow=1.3.0.
upgrade your tensorflow installation
pip install --upgrade tensorflow==1.3.0