I'm using numpy and mlrose, and all i have written so far is:
import numpy as np
import mlrose
However, when i run it, it comes up with an error message:
File "C:\Users\<my username>\AppData\Local\Programs\Python\Python38-32\lib\site-packages\mlrose\neural.py", line 12, in <module>
from sklearn.externals import six
ImportError: cannot import name 'six' from 'sklearn.externals' (C:\Users\<my username>\AppData\Local\Programs\Python\Python38-32\lib\site-packages\sklearn\externals\__init__.py)
Any help on sorting this problem will be greatly appreciated.
Solution: The real answer is that the dependency needs to be changed by the mlrose maintainers.
A workaround is:
import six
import sys
sys.modules['sklearn.externals.six'] = six
import mlrose
from sklearn.externals import six is deprecated, use import six instead
Related
I'm getting this error. It doesn't seem to find the augmentations module. I'm trying to use basicsr for model training.I already tried to install the augmentation module, albumentation, but it doesn't work.
Can someone help me and explain how to solve this?
How it's being imported:
import os.path
import random
import numpy as np
import cv2
import torch
import torch.utils.data as data
import data.util as util
import sys
sys.path.append('../codes/scripts')
sys.path.append('../codes/data')
**import augmentations # Here shows the module import error**
As it is being used below:
# Random Crop (reduce computing cost and adjust images to correct size first)
if img_HR.shape[0] > HR_size or img_HR.shape[1] > HR_size:
#Here the scale should be in respect to the images, not to the training scale (in case they are being scaled on the fly)
scaleor = img_HR.shape[0]//img_LR.shape[0]
img_HR, img_LR = augmentations.random_crop_pairs(img_HR, img_LR, HR_size, scaleor)
Console error:
File "D:\basicsrtrainmodel\BasicSR\codes\data\LRHROTF_dataset.py", line 12, in <module>
import augmentations
ModuleNotFoundError: No module named 'augmentations'
Someone help me please?
In the following code I'm getting errors when trying to call librosa.grifflim, telling me the attribute does not exist.
import os
from matplotlib import pyplot as plt
import librosa
import librosa.display
import IPython.display as ipd
import numpy as np
import cv2
S = cv2.imread('spectrograms/CantinaBand60.wav10.jpg')
D = librosa.amplitude_to_db(np.abs(S), ref=np.max)
signal = librosa.griffinlim(D)
sf.write('test.wav', signal, 352000)
I've upgraded librosa, and I still encounter the error. The documentation page for this function no longer seems to exist either. I've also tried import just that module using librosa.griffinlim but it continues to tell me this module doesn't exist. Was this function removed during a recent version? If so, is there another function I can use to apply the griffin lim algorithm?
librosa.griffinlim was introduced in librosa 0.7.0. So you need to have that version or later. You can check this using the following code.
import librosa; print(librosa.__version__)
Good day,
Here is the error. Can somebody help how can i solve it?
ImportError Traceback (most recent call last)
<ipython-input-18-c29f17706012> in <module>
7 import numpy as np
8 import numpy.random as nr
----> 9 from tensorflow import set_random_seed
10 import matplotlib.pyplot as plt
11 get_ipython().run_line_magic('matplotlib', 'inline')
ImportError: cannot import name 'set_random_seed' from 'tensorflow' (C:\Users\polon\Anaconda3\lib\site-packages\tensorflow\__init__.py)
Looked for similar problems on Stack, but nothing worked for me.
In Tensoflow2 there is no need to perform
from tensorflow import set_random_seed
in order to run
set_random_seed(x)
(as it was in older version)
Only have to run
import tensorflow
tensorflow.random.set_seed(x)
Thanks to #David Buck
I too faced same error but instead of
from tensorflow import set_random_seed, I've used
import tensorflow as tf
tf.random.set_seed()
And it worked I think that method is useful for version 1 and the above snippet is useful for version 2
This code works for me:
from numpy.random import seed
seed(1)
from tensorflow import random
random.set_seed(1)
I got the same result of my neural network model every time.
TensorFlow API has been updated from set_random_seed() to set_seed()
You can use the following code :
from tensorflow.random import set_seed
Reference Link :
TensorFlow Random Seed
you can also try the following import statement
from tensorflow.python.framework.random_seed import set_random_seed
You want to use the random seed number.
You can try with this
import tensorflow as tf
tf.set_random_seed(1234)
I'm writing code in a Jupyter Notebook that involves cleaning and analyzing a large amount of consumer data. I'm trying to use dill to save the dataframes with thousands of rows so I don't have to run the code every time I want to make an adjustment, so dill seems like the perfect package to do so... Except I'm getting this error when attempting to pickle the notebook:
AttributeError: module 'dill' has no attribute 'dump_session'
Let me know if the program code is necessary - I don't think it should make a difference. The imports are:
import numpy as np
import pandas as pd
import dill
import scipy
from matplotlib import pyplot as plt
from __future__ import division
from collections import OrderedDict
from sklearn.cluster import KMeans
pd.options.display.max_columns = None
and when I run this code I get the error from above:
dill.dump_session('recengine.db')
Is there another package that's interfering with dill's use of pickle vs. cpickle?
I'm trying to import a series of modules into my Python 3.5 code. I use the following code to import:
# import packages for analysis and modeling
import pandas as pd # data frame operations; use pandas 0.18
from pandas.tools.rplot import RPlot, TrellisGrid, GeomPoint, \
ScaleRandomColour # trellis/lattice plotting
import numpy as np # arrays and math functions
from scipy.stats import uniform # for training-and-test split
import statsmodels.api as sm # statistical models (including regression)
import statsmodels.formula.api as smf # R-like model specification
import matplotlib.pyplot as plt # 2D plotting
When i use this code, I receive the following error:
ImportError Traceback (most recent call last)
/var/folders/zy/snhf2bh51v33ny6nf7fyr4wh0000gn/T/tmpdxMQ0Y.py in <module>()
7 # import packages for analysis and modeling
8 import pandas as pd # data frame operations; use pandas 0.18
----> 9 from pandas.tools.rplot import RPlot, TrellisGrid, GeomPoint, \
10 ScaleRandomColour # trellis/lattice plotting
11 import numpy as np # arrays and math functions
ImportError: No module named 'pandas.tools.rplot'
I tried this code with "pd" and with "pandas" written out. I confirmed that pandas was installed by manually typing in import pandas as pd and then confirming its existence by typing in "pd" and receiving the following message: <module 'pandas' from '/Users/me/Library/Enthought/Canopy/edm/envs/User/lib/python3.5/site-packages/pandas/__init__.py'>
What is causing this to happen?
Renaming it during import with as doesn't mean Python will be able to find the original module (pandas) when you use the name pd at a later import statement. Python will look for a module named pd which it will not find.
Since pd does not correspond to some module while pandas does, you'll need to use from pandas import tools in order to get it to work.