README updates

Backreference links to/from pypi.org
microsoft · Jan 9, 2024 · 23ac4f4 · 23ac4f4
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diff --git a/README.md b/README.md
@@ -129,7 +129,10 @@ See Also:
 
 ## Installation
 
-The MLOS modules are published to [pypi](https://pypi.org) when new tags/releases are made.
+The MLOS modules are published to [pypi](https://pypi.org) when new releases are tagged:
+
+- [mlos-core](https://pypi.org/project/mlos-core/)
+- [mlos-bench](https://pypi.org/project/mlos-bench/)
 
 To install the latest release, simply run:
 

diff --git a/mlos_bench/README.md b/mlos_bench/README.md
@@ -4,6 +4,8 @@ This [directory](./) contains the code for the `mlos-bench` experiment runner pa
 
 It makes use of the [`mlos-core`](../mlos_core/) package for its optimizer.
 
+It's available for `pip install` via the pypi repository at [mlos-bench](https://pypi.org/project/mlos-bench/).
+
 ## Table of Contents
 
 <!-- markdownlint-disable MD007 -->

diff --git a/mlos_core/README.md b/mlos_core/README.md
@@ -2,6 +2,8 @@
 
 This [directory](./) contains the code for the `mlos-core` optimizer package.
 
+It's available for `pip install` via the pypi repository at [mlos-core](https://pypi.org/project/mlos-core/).
+
 ## Description
 
 `mlos-core` is an optimizer package, wrapping other libraries like FLAML and SMAC to use techniques like Bayesian optimization and others to identify & sample tunable configuration parameters and propose optimal parameter values with a consistent API: `suggest` and `register`.