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Update .md formatting in README

Alexander Bezzubov 7 years ago
parent
commit
6ba76e8b25
1 changed files with 3 additions and 4 deletions
  1. 3 4
      README.md

+ 3 - 4
README.md

@@ -137,7 +137,7 @@ co-occurrence probability through the Euclidean distance. The training requires
 [Tensorflow](http://tensorflow.org) installation. The intermediate files are stored in the
 [Tensorflow](http://tensorflow.org) installation. The intermediate files are stored in the
 system temporary directory or `--couples-tmp-dir` if it is specified. The trained embeddings are
 system temporary directory or `--couples-tmp-dir` if it is specified. The trained embeddings are
 written to the current working directory with the name depending on `-o`. The output format is TSV
 written to the current working directory with the name depending on `-o`. The output format is TSV
-and matches [Tensorflow Projector])(http://projector.tensorflow.org/) so that the files and people
+and matches [Tensorflow Projector](http://projector.tensorflow.org/) so that the files and people
 can be visualized with t-SNE implemented in TF Projector.
 can be visualized with t-SNE implemented in TF Projector.
 
 
 #### Everything in a single pass
 #### Everything in a single pass
@@ -181,11 +181,10 @@ python3 labours.py [--text-size] [--relative]
 1. Currently, go-git's file system storage backend is considerably slower than the in-memory one,
 1. Currently, go-git's file system storage backend is considerably slower than the in-memory one,
 so you should clone repos instead of reading them from disk whenever possible. Please note that the
 so you should clone repos instead of reading them from disk whenever possible. Please note that the
 in-memory storage may require much RAM, for example, the Linux kernel takes over 200GB in 2017.
 in-memory storage may require much RAM, for example, the Linux kernel takes over 200GB in 2017.
-2. Parsing YAML in Python is slow when the number of internal objects is big. `hercules`' output
+1. Parsing YAML in Python is slow when the number of internal objects is big. `hercules`' output
 for the Linux kernel in "couples" mode is 1.5 GB and takes more than an hour / 180GB RAM to be
 for the Linux kernel in "couples" mode is 1.5 GB and takes more than an hour / 180GB RAM to be
 parsed. However, most of the repositories are parsed within a minute.
 parsed. However, most of the repositories are parsed within a minute.
-
-2. to use matplotlib in macOS and avoid errors us
+1. To use matplotlib on macOS and avoid runtime errors do
    ```
    ```
    echo "backend: TkAgg" > ~/.matplotlib/matplotlibrc
    echo "backend: TkAgg" > ~/.matplotlib/matplotlibrc
    ```
    ```