When I did pip install xgboost, I am getting this error, Command "python setup. failed UnsatisfiableError: The following specifications were found to be incompatible with each other: Package vc conflicts for: python=3.7 -> vc Package vs2015_runtime conflicts for: python=3.7 -> vs2015_runtime Package r-ggplot2 conflicts for: busco=4.0.6 -> r-ggplot2 Package augustus conflicts for: busco=4.0.6 -> augustus=3.2.3 Package sepp conflicts for: busco=4.0.6 -> sepp Package blast conflicts for: busco=4.0.6 -> blast[version='>=2.When I tried import from python terminal I get this error, although I followed all the steps to install xgboost, somehow python is unable to get the package details.I am relatively new to python, I could easily install numpy and pandas packages,I used this link for installation on MACOSX > import xgboost Solving environment: | Found conflicts! Looking for incompatible packages. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
In environment created with GUI, Python version 3.7.7 (buscoenv) C:\Users\username>conda install -c defaults -c bioconda -c conda-forge busco=4.0.6 Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. There are two ways to resolve this issue: nohup: The nohup command forces the lifecycle configuration script to continue running in the background until the packages are installed.
When first creating an environment in Anaconda Navigator GUI (I'm new to using the GUI), then installing busco, conda reports conflicts between incompatible packages: If a lifecycle configuration script runs for longer than five minutes, it fails, and the notebook instance isnt created or started. Building R Package From Source By default, the package installed by running install.packages is built from source. Collecting package metadata (repodata.json): done Solving environment: failed PackagesNotFoundError: The following packages are not available from current channels: - busco=4.0.6 Current channels: - To search for alternate channels that may provide the conda package you're looking for, navigate to and use the search bar at the top of the page. If mingw32/bin is not in PATH, build a wheel (python setup.py bdistwheel), open it with an archiver and put the needed dlls to the directory where xgboost.dll is situated. When creating a conda environment and installing BUSCO in the same command, conda is not able to find busco in any repository: (base) $ conda create -n buscoenv -c conda-forge busco=4.0.6 Collecting package metadata (current_repodata.json): done Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. I've tried to install BUSCO through conda several times the last days (first version 4.0.5, today version 4.0.6).
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