I would like to add model analysis to my model but was unable to import the libraries:
I am using datalab environment.
import tensorflow as tf
!pip install tensorflow_model_analysis
import tensorflow_model_analysis as tfma
The error is:
ImportErrorTraceback (most recent call last)
<ipython-input-6-f85e4d8fbd99> in <module>()
----> 1 import tensorflow_model_analysis as tfma
/usr/local/envs/py2env/lib/python2.7/site-packages/tensorflow_model_analysis/__init__.py in <module>()
15
16
---> 17 from tensorflow_model_analysis import view
18 from tensorflow_model_analysis.api import tfma_unit as test
19 from tensorflow_model_analysis.api.model_eval_lib import * # pylint: disable=wildcard-import
ImportError: cannot import name view
Please advice what will be the right way to import the library.
Thanks,
eilalan
Working for me now with the following installation:
python 2.7 - to support apache beam
pip install pip==9.0.3 # I am not sure what is the reason, but essential for apache beam pipelines execution
pip install --upgrade tensorflow
pip install tensorflow-model-analysis
import tensorflow_model_analysis as tfma
Related
I've been working on the tutorial for Federated Learning for Image Classification, and while running the tutorial code on Google colab its giving me error while importing tensorflow_federated
Federated Learning for Image Classification
Code (getting error on line 4):
import collections
import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
np.random.seed(0)
tff.federated_computation(lambda: 'Hello, World!')()
Error:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-35-a23308ec3f7c> in <module>()
3 import numpy as np
4 import tensorflow as tf
----> 5 import tensorflow_federated as tff
6
7 np.random.seed(0)
6 frames
/usr/local/lib/python3.7/dist-packages/tensorflow_federated/python/common_libs/structure.py in <module>()
263
264 def to_odict(struct: Struct,
--> 265 recursive: bool = False) -> collections.OrderedDict[str, Any]:
266 """Returns `struct` as an `OrderedDict`, if possible.
267
TypeError: 'type' object is not subscriptable
I've tried updating the python version to 3.9 (as mentioned in some of the fixes available) but it didn't work.
Solved:
I followed this issue and installed the 0.20.0 version of tensorflow-federated which worked for me
!pip install --quiet tensorflow-federated==0.20.0
#!pip install --quiet --upgrade tensorflow-federated
!pip install --quiet --upgrade nest-asyncio
import nest_asyncio
nest_asyncio.apply()
Below the code
import numpy as np
np.random.seed(0)
from sklearn import datasets
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format ='retina'
from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD
below the Error message
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
2 try:
----> 3 from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
4 except ImportError:
ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental.preprocessing'
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-5-943507dd87a6> in <module>
6 get_ipython().run_line_magic('config', "InlineBackend.figure_format ='retina'")
7
----> 8 from keras.models import Sequential
9 from keras.layers import Dense
10 from keras.optimizers import SGD
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow
Note:` I think, the main problem is Tensorflow version. I used somes command and that's are bellow,
conda create -n tf tensorflow
conda activate tf
and I also used the below command
conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu
But it don't works , Please help for solve the error.
you need to update the version of your TensorFlow. For me, 2.2.0 solved the problem. I also checked with the higher versions and worked ok.
pip install tensorflow==2.2.0
or
pip install tensorflow-gpu==2.2.0
You need update TensorFlow. You can try with
pip install tensorflow==2.0.0
or, if you use gpu version
pip install tensorflow-gpu==2.0.0
If doesn't solve your issue, you can also try with 2.2.0 version.
For more details, in this issue follow this answer
I am using the following libraries:
import pandas as pd
import numpy as np
import googlemaps
from geopy.geocoders import Nominatim
import sys
from dateutil import parser
from geo import *
import re
I already installed in the prompt:
pip install GoogleMaps
pip install geopy
pip install geopandas
conda install -c conda-forge geopandas
However, I am still having the following error:
> ModuleNotFoundError Traceback (most recent call
> last) <ipython-input-1-456abdb5bc33> in <module>
> 5 import sys
> 6 from dateutil import parser
> ----> 7 from geo import *
> 8 import re
ModuleNotFoundError: No module named 'geo'
I really appreciate any help to solve this error
Have you tried
pip install geo-py
?
https://pypi.org/project/geo-py/
I'm running the official TF docker repo using the Jupyter UI on localhost. It seems that TF is working in general, as I am able to import it, but when trying to import the distributions module I get an error:
print tf.__version__
import tf.distributions as dist
1.8.0
ImportErrorTraceback (most recent call last)
<ipython-input-3-4d440943cb46> in <module>()
1 print tf.__version__
----> 2 import tf.distributions as dist
ImportError: No module named tf.distributions
Try this
import tensorflow as tf
from tensorflow import distributions as dist
I don't think you can use import aliases for other import statements in python. I'm not too sure about this, but I think that's the problem.
FYI, I tested this on Python 3.5.2 and Tensorflow 1.8.0
Getting a weird import error when running the following code.
! pip install --user --upgrade git+https://github.com/broadinstitute/keras-resnet
import keras
import keras_resnet
Basically, I'm trying to install keras_resnet for keras_retinanet on Google colab however I'm getting a not found error. Output is below. The installation completes but then the import fails. Tested it locally and it works only fails on Google Colaboratory.
Running setup.py install for keras-resnet ... - \ done
Successfully installed keras-resnet-0.0.8
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-25-4521fd3221d7> in <module>()
2 #os.chdir('keras-retinanet')
3 import keras
----> 4 import keras_resnet
5 #from keras-retinanet.keras_retinanet.models.resnet import custom_objects
6 #model = keras.models.load_model('/path/to/model.h5', custom_objects=custom_objects)
ModuleNotFoundError: No module named 'keras_resnet'
Try dropping the --user? This worked for me:
!pip install --upgrade git+https://github.com/broadinstitute/keras-resnet
import keras
import keras_resnet