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Machine Learning Machine Learning Basics Writing a Classifier Installing scikit-learn using Anaconda

Carl Taylor
Carl Taylor
21,308 Points



  • libgfortran==3.0.1=h93005f0_2
  • ncurses==6.0=hd04f020_2
  • xz==5.2.3=h0278029_2
  • libcxxabi==4.0.1=hebd6815_0
  • pip==9.0.1=py36h1555ced_4
  • libedit==3.1=hb4e282d_0
  • wheel==0.30.0=py36h5eb2c71_1
  • scikit-learn==0.19.1=py36hffbff8c_0
  • mkl==2018.0.1=hfbd8650_4
  • libcxx==4.0.1=h579ed51_0
  • openssl==1.0.2n=hdbc3d79_0
  • numpy==1.14.0=py36h8a80b8c_1
  • zlib==1.2.11=hf3cbc9b_2
  • python==3.6.4=hc167b69_1
  • sqlite==3.21.0=h3efe00b_0
  • libffi==3.2.1=h475c297_4
  • readline==7.0=hc1231fa_4
  • scipy==1.0.0=py36h1de22e9_0
  • intel-openmp==2018.0.0=h8158457_8
  • tk==8.6.7=h35a86e2_3
  • ca-certificates==2017.08.26=ha1e5d58_0

2 Answers

Seth Kroger
Seth Kroger
56,413 Points

My answer to a previous question:

"I ran into the same issue on Windows 10 as well. The enviroment.yml includes checksums for specific versions of the packages which are probably the OSX versions. Removing the checksums in a text editor fixes some but not all the errors, because not all packages have versions for every OS.

I've found the project will run just fine under the "base" environment which includes scikit-learn."

Seth Kroger
Seth Kroger
56,413 Points

You can also create a new Python environment in Anaconda Navigator then install scikit-learn to it. It will take care of all the dependencies for you and provide a paired down environment to run the examples.

Mahfoudh Arous
Mahfoudh Arous
4,879 Points

yeah, it works just fine under the "base" environment, thanks for sharing the solution.

Thanks it worked :)