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Flashcard 7713262013708

Question
Recommendations for Avoiding Dependency Conflicts with Conda

There are two simple rules to follow:

  1. Always create a new environment for each project
  2. Install [...] that you need in the new environment at the same time
Answer
all the packages

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Recommendations for Avoiding Dependency Conflicts with Conda There are two simple rules to follow: Always create a new environment for each project Install all the packages that you need in the new environment at the same time

Original toplevel document

How to Manage Python Dependencies with Conda - ActiveState
rmine the Current Environment with Conda The current or active environment is shown in parentheses () or brackets [] at the beginning of the Anaconda Prompt or terminal: (<current_env>) $ <span>Recommendations for Avoiding Dependency Conflicts with Conda There are two simple rules to follow: Always create a new environment for each project Install all the packages that you need in the new environment at the same time. Installing packages one at a time can lead to dependency conflicts. To create an environment with a specific version of Python and multiple packages including a package with a specific version: $ conda create -n <env_name> python=<version#> <packagename> <packagename> <packagename>=<version#> Alternatively, you can use conda to install all the packages in a requirements.txt file. You can save a requirements.txt file from an existing environment, or manually create a new requirements.txt for a different environment. To create a conda requirements.txt file from an existing environment: Activate your project environment. See section above entitled “How to Activate an Environment with Conda” for detai






Flashcard 7713263848716

Tags
#English #sentence_mining #vocabulary
Answer
prepares

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English: sentence mining
This course prepares students for middle and senior managerial positions.






Flashcard 7713265683724

Tags
#feature-engineering #lstm #recurrent-neural-networks #rnn
Question
In machine learning, a feature refers to a variable that describes [...] of individual data objects (Dong & Liu, 2018).
Answer
some aspect

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In machine learning, a feature refers to a variable that describes some aspect of individual data objects (Dong & Liu, 2018).

Original toplevel document (pdf)

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