Error on preamble import

[saptak]

I am getting the following error:

from preamble import *

%matplotlib inline

ImportError Traceback (most recent call last)
in ()
----> 1 from preamble import *
2 get_ipython().magic(u'matplotlib inline')

/Users/ssen/Box Sync/projects/introduction_to_ml_with_python/preamble.py in ()
2 import numpy as np
3 import matplotlib.pyplot as plt
----> 4 import mglearn
5
6 set_matplotlib_formats('pdf', 'png')

/Users/ssen/Box Sync/projects/introduction_to_ml_with_python/mglearn/init.pyc in ()
----> 1 from . import plots
2 from . import tools
3 from .plots import cm3, cm2
4
5 all = ['tools', 'plots', 'cm3', 'cm2']

/Users/ssen/Box Sync/projects/introduction_to_ml_with_python/mglearn/plots.py in ()
9 plot_single_hidden_layer_graph,
10 plot_two_hidden_layer_graph)
---> 11 from .plot_linear_regression import plot_linear_regression_wave
12 from .plot_tree_nonmonotonous import plot_tree_not_monotone
13 from .plot_scaling import plot_scaling

/Users/ssen/Box Sync/projects/introduction_to_ml_with_python/mglearn/plot_linear_regression.py in ()
3
4 from sklearn.linear_model import LinearRegression
----> 5 from sklearn.model_selection import train_test_split
6 from .datasets import make_wave
7

ImportError: No module named model_selection

[amueller]

As the readme says, you need the development version of scikit-learn.
It will be released before the book is published.

[saptak]

Thank you amueller for the quick reply. I upgraded to the development version. I double checked as below but get the same error:

pip show scikit-learn

Metadata-Version: 1.1
Name: scikit-learn
Version: 0.18.dev0
Summary: A set of python modules for machine learning and data mining
Home-page: http://scikit-learn.org
Author: Andreas Mueller
Author-email: amueller@ais.uni-bonn.de
License: new BSD
Location: /Users/ssen/anaconda/envs/dato-env/lib/python2.7/site-packages

[amueller]

if you run import sklearn; print(sklearn.__version__), what do you get?

[saptak]

Somehow, I am still getting

import sklearn; print(sklearn.version)

0.17.1

On Thu, Jun 2, 2016 at 12:16 PM, Andreas Mueller notifications@github.com
wrote:

if you run import sklearn; print(sklearn.version), what do you get?

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.

[amueller]

your pip and the python you are using belong to different python environments.

[saptak]

Looks like they are using the same python environment:

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which pip

/Users/ssen/anaconda/envs/dato-env/bin/pip

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which python

/Users/ssen/anaconda/envs/dato-env/bin/python

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which ipython

/Users/ssen/anaconda/envs/dato-env/bin/ipython

On Thu, Jun 2, 2016 at 12:30 PM, Andreas Mueller notifications@github.com
wrote:

your pip and the python you are using belong to different python
environments.

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Reply to this email directly, view it on GitHub
#1 (comment),
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.

[amueller]

If you install with conda, you shouldn't upgrade with pip. If you did that,
remove the scikit-learn folder and reinstall will pip.

Sent from phone. Please excuse spelling and brevity.
On Jun 2, 2016 5:48 PM, "Saptak Sen" notifications@github.com wrote:

Looks like they are using the same python environment:

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which pip

/Users/ssen/anaconda/envs/dato-env/bin/pip

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which python

/Users/ssen/anaconda/envs/dato-env/bin/python

(dato-env)HW12341:introduction_to_ml_with_python ssen$ which ipython

/Users/ssen/anaconda/envs/dato-env/bin/ipython

On Thu, Jun 2, 2016 at 12:30 PM, Andreas Mueller <notifications@github.com

wrote:

your pip and the python you are using belong to different python
environments.

—
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Reply to this email directly, view it on GitHub
<
#1 (comment)
,
or mute the thread
<
https://github.com/notifications/unsubscribe/AEZ0CVYVH01iWT4EUzbe7JzjX04ovYmnks5qHy9BgaJpZM4Isz1r

.

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[saptak]

Thanks that solved it

[Amirosimani]

Im also getting the error on: from preamble import *

I removed scikit-learn and re-installed with pip. running import sklearn; print(sklearn.version) , I get: 0.18.1
any suggestions how to fix it?

[amueller]

What's the error? Please provide the full traceback. Sent from phone. Please excuse spelling and brevity.

…

On Feb 12, 2017 12:37, "Amir Imani" ***@***.***> wrote: Im also getting the error on: from preamble import * I removed scikit-learn and re-installed with pip. running import sklearn; print(sklearn.*version*) , I get: 0.18.1 any suggestions how to fix it? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAbcFiRx29rU4_nC8SQcz7u5Nkd4JAqeks5rb0NAgaJpZM4Isz1r> .

[Amirosimani]

ImportError Traceback (most recent call last)
in ()
1 import mglearn
2 get_ipython().magic('matplotlib inline')
----> 3 from preamble import *
4
5 X, y = mglearn.datasets.make_forge()

ImportError: No module named 'preamble'

[amueller]

How are you running the notebooks? This repository contains the notebooks, and along with the notebooks a file called preamble.py that is imported here. Make sure that this file is present when running the notebook.

[aduk4u]

Hello guys, I need help. I get error when i try to execute this command;
mglearn.plots.plot_two_hidden_layer_graph()

I always have the following error tracebacks

---

ModuleNotFoundError Traceback (most recent call last)
in ()
1 import mglearn
----> 2 mglearn.plots.plot_two_hidden_layer_graph()

C:\Users\SK.ipython\mglearn\plot_nn_graphs.py in plot_two_hidden_layer_graph()
65
66 def plot_two_hidden_layer_graph():
---> 67 import graphviz
68 nn_graph = graphviz.Digraph(node_attr={'shape': 'circle', 'fixedsize': 'True'},
69 graph_attr={'rankdir': 'LR', 'splines': 'line'})

ModuleNotFoundError: No module named 'graphviz

How can i fix it. I am running Notebook on windows

[amueller]

@aduk4u this sounds like an unrelated issue, right? If you're using conda, you can conda install graphviz-python graphviz as described in the readme: https://github.com/amueller/introduction_to_ml_with_python#installing-packages-with-conda

If you're not using conda, you can install the required python library with pip install graphviz but installing the supporting executable is more tricky. This function will only reproduce the figure you can see in the book, by the way, so it's not that important.

[aduk4u]

Hello Andrea, I'm very glad to get your response. it really helped me a lot. I need an idea on how to change the weight and activation function to memristive model function that can perform faster and same as the logistic or Relu function. I'm working to classify breast cancer. I would like you to help me. Thanks and waiting for your response. My regards Adu

…

On Wed, Nov 22, 2017 at 4:43 AM, Andreas Mueller ***@***.***> wrote: @aduk4u <https://github.com/aduk4u> this sounds like an unrelated issue, right? If you're using conda, you can conda install graphviz-python graphviz as described in the readme: https://github.com/amueller/ introduction_to_ml_with_python#installing-packages-with-conda If you're not using conda, you can install the required python library with pip install graphviz but installing the supporting executable is more tricky. This function will only reproduce the figure you can see in the book, by the way, so it's not that important. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#1 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AgTQvqtsqDJ6l_6x3Xfz1_Dv9zAW6ux2ks5s4zXigaJpZM4Isz1r> .

[amueller]

@aduk4u Sorry I can't help you with that.