mlflow 2.18.0: make a multi-output recipe

recipe/README_SKINNY.rst

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+=======================================================================
+MLflow Skinny: A Lightweight Machine Learning Lifecycle Platform Client
+=======================================================================
+
+MLflow Skinny is a lightweight MLflow package without SQL storage, server, UI, or data science dependencies.
+MLflow Skinny supports:
+
+* Tracking operations (logging / loading / searching params, metrics, tags + logging / loading artifacts)
+* Model registration, search, artifact loading, and transitions
+* Execution of GitHub projects within notebook & against a remote target.
+
+Additional dependencies can be installed to leverage the full feature set of MLflow. For example:
+
+* To use the `mlflow.sklearn` component of MLflow Models, install `scikit-learn`, `numpy`, and `pandas`.
+* To use SQL-based metadata storage, install `sqlalchemy`, `alembic`, and `sqlparse`.

recipe/build-mlflow.bat

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+@echo on
+
+if not exist pyproject-full.toml (
+    copy pyproject.toml pyproject.full.toml
+)
+
+if [%PKG_NAME%] == [mlflow-skinny] (
+  set MLFLOW_SKINNY=1
+  # https://github.com/mlflow/mlflow/pull/4134
+  copy %RECIPE_DIR%/README_SKINNY.rst %SRC_DIR%
+  copy pyproject.skinny.toml pyproject.toml
+) else (
+  copy pyproject.full.toml pyproject.toml
+)
+
+if [%PKG_NAME%] == [mlflow-ui] (
+  pushd mlflow\server\js
+
+  @rem The lockfile is not installable in an immutable fashion on Windows
+  set YARN_ENABLE_IMMUTABLE_INSTALLS=false
+  cmd /c yarn install
+  if %ERRORLEVEL% neq 0 exit 1
+  cmd /c yarn build
+  if %ERRORLEVEL% neq 0 exit 1
+
+  popd
+)
+
+%PREFIX%/python.exe -m pip install . --no-deps --no-build-isolation --ignore-installed --no-cache-dir -vv
+if %ERRORLEVEL% neq 0 exit 1
+
+xcopy /i /s /y mlflow\server\js\build %SP_DIR%\mlflow\server\js\build
+
+if [%PKG_NAME%] NEQ [mlflow-ui-dbg] (
+  rmdir /s /q %SP_DIR%\mlflow\server\js\node_modules
+  bash -c 'rm -f ${SP_DIR//\\\\//}/mlflow/server/js/build/static/css/*.css.map'
+  bash -c 'rm -f ${SP_DIR//\\\\//}/mlflow/server/js/build/static/js/*.js.map'
+)

recipe/build-mlflow.sh

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+#!/bin/bash
+
+set -euxo pipefail
+
+if [ ! -f pyproject.full.toml ]; then
+  cp pyproject.toml pyproject.full.toml
+fi
+
+if [[ "${PKG_NAME}" == "mlflow-skinny" ]]; then
+  export MLFLOW_SKINNY=1
+  # https://github.com/mlflow/mlflow/pull/4134
+  cp ${RECIPE_DIR}/README_SKINNY.rst ${SRC_DIR}
+  cp pyproject.skinny.toml pyproject.toml
+else
+  cp pyproject.full.toml pyproject.toml
+fi
+
+if [[ "${PKG_NAME}" == "mlflow-ui" ]]; then
+  pushd mlflow/server/js
+  yarn install
+  yarn build
+  popd
+fi
+
+$PREFIX/bin/python -m pip install . --no-deps --no-build-isolation --ignore-installed --no-cache-dir -vv
+if [[ "$PKG_NAME" != "mlflow-ui-dbg" ]]; then
+  rm -rf $SP_DIR/mlflow/server/js/node_modules
+  rm -f $SP_DIR/mlflow/server/js/build/static/css/*.css.map
+  rm -f $SP_DIR/mlflow/server/js/build/static/js/*.js.map
+fi