Comments (6)
It means that you didn't follow the installation instructions:
python setup.py install
This will install tigramite in your path.
To use just the ParCorr and CMIsymb independence tests, only numpy and scipy are required. For other independence tests more packages are required:
CMIknn: cython can optionally be used for compilation, otherwise the provided *.c'' file is used GPDC: also based on cython, and additionally, scikit-learn is required for Gaussian Process regression RCOT requires more work: Firstly, rpy2 is required to access R-packages. The required R-packages can be installed with the script
install_r_packages.sh''. Due to R-related issues, the installation of R's devtools might fail when running "install_r_packages.sh". This can be solved e.g. by installing missing / not resolved R dependencies using conda: "conda install r-git2r".
RCOT will not be in future releases to avoid R-dependencies.
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It means that you didn't follow the installation instructions:
python setup.py install
This will install tigramite in your path.
To use just the ParCorr and CMIsymb independence tests, only numpy and scipy are required. For other independence tests more packages are required:
CMIknn: cython can optionally be used for compilation, otherwise the provided *.c'' file is used GPDC: also based on cython, and additionally, scikit-learn is required for Gaussian Process regression RCOT requires more work: Firstly, rpy2 is required to access R-packages. The required R-packages can be installed with the script install_r_packages.sh''. Due to R-related issues, the installation of R's devtools might fail when running "install_r_packages.sh". This can be solved e.g. by installing missing / not resolved R dependencies using conda: "conda install r-git2r".
RCOT will not be in future releases to avoid R-dependencies.
Thank you for your reply, I will try it
from tigramite.
It means that you didn't follow the installation instructions:
python setup.py install
This will install tigramite in your path.
To use just the ParCorr and CMIsymb independence tests, only numpy and scipy are required. For other independence tests more packages are required:
CMIknn: cython can optionally be used for compilation, otherwise the provided *.c'' file is used GPDC: also based on cython, and additionally, scikit-learn is required for Gaussian Process regression RCOT requires more work: Firstly, rpy2 is required to access R-packages. The required R-packages can be installed with the script install_r_packages.sh''. Due to R-related issues, the installation of R's devtools might fail when running "install_r_packages.sh". This can be solved e.g. by installing missing / not resolved R dependencies using conda: "conda install r-git2r".
RCOT will not be in future releases to avoid R-dependencies.
Sorry, I have already test all packages : include numpy, scipy, scikit-learn,matplotlib,networkx,cython,mpi4py,rpy2,r-git2r and RCIT,but it still display "Could not import packages for CMIknn and GPDC estimation". What should I do?
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Further more ,If I used cmd to run the example,it will diaplay the error like the picture ,I also install the tigramite-developer, I wonder what's worng with that. I'm looking forward to your replay. Thank you
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Sorry, that was a typo, use pcmci.print_significant_links(...) instead (without the prefix "_").
It's fixed in the developer now....
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Thank you for your reply.The problem solved.Thank you very much!!!!
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Related Issues (20)
- link assumptions in run_mci HOT 1
- HOW TO PRINT THE LAG VALUES ABOVE THE ARROW LINE? HOT 1
- PCMCI ANALYSIS HOT 1
- Problem about rpcmci
- consider specific link and discard the remaining by comparing the magnitude of the val_matrix with a certain threshold HOT 2
- Conditional independence test for mixed dataset (binary and continuous data) HOT 1
- ylimits for plotting should not be rounded HOT 4
- TypeError: print_significant_links() got an unexpected keyword argument 'q_matrix'
- attribute error in plotting fkns
- the reference of RregressionCI ? HOT 1
- retracted
- Bug in use of inverse_transform when predicting effects HOT 5
- climate_data folder missing HOT 1
- Relationship Polarity for Discrete Variables
- cannot import name 'ParCorr' from 'tigramite.independence_tests' HOT 1
- Speed of CausalMediation/CausalEffects
- How to forbid edge with the parameter link_assumptions?
- Can tigramite be used for image data? HOT 1
- Python 3.11 Support
- tigramite issue HOT 2
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