[Requirements] Align scikit-learn version [1.6.x] (#5627)

dev-requirements.txt

@@ -27,6 +27,6 @@ avro~=1.11
 sqlalchemy-utils~=0.39.0
 
 # frameworks tests
-scikit-learn~=1.4
+scikit-learn~=1.4.0
 lightgbm~=3.0; platform_machine != 'arm64'
 xgboost~=1.1

dockerfiles/base/mlrun_requirements.txt

@@ -4,6 +4,6 @@
 # TODO: delete me once we delete models entirely
 matplotlib~=3.5
 scipy~=1.11
-scikit-learn~=1.4
+scikit-learn~=1.4.0
 seaborn~=0.11.0
 scikit-plot~=0.3.7

dockerfiles/jupyter/requirements.txt

@@ -1,6 +1,6 @@
 matplotlib~=3.5
 scipy~=1.11
-scikit-learn~=1.4
+scikit-learn~=1.4.0
 seaborn~=0.11.0
 scikit-plot~=0.3.7
 xgboost~=1.1

dockerfiles/mlrun/requirements.txt

@@ -1,6 +1,6 @@
 matplotlib~=3.5
 scipy~=1.11
-scikit-learn~=1.4
+scikit-learn~=1.4.0
 seaborn~=0.11.0
 scikit-plot~=0.3.7
 mpi4py~=3.1

docs/tutorials/01-mlrun-basics.ipynb

@@ -67,7 +67,7 @@
     "\n",
     "**Before you start, make sure the MLRun client package is installed and configured properly:**\n",
     "\n",
-    "This notebook uses sklearn and numpy. If it is not installed in your environment run `!pip install scikit-learn~=1.4 numpy~=1.26`."
+    "This notebook uses sklearn and numpy. If it is not installed in your environment run `!pip install scikit-learn~=1.4.0 numpy~=1.26`."
    ]
   },
   {
@@ -82,7 +82,7 @@
    "outputs": [],
    "source": [
     "# Install MLRun and sklearn, run this only once (restart the notebook after the install !!!)\n",
-    "%pip install mlrun scikit-learn~=1.4 numpy~=1.26"
+    "%pip install mlrun scikit-learn~=1.4.0 numpy~=1.26"
    ]
   },
   {

docs/tutorials/02-model-training.ipynb

@@ -21,7 +21,7 @@
     "\n",
     "## MLRun installation and configuration\n",
     "\n",
-    "Before running this notebook make sure `mlrun` and `sklearn` packages are installed (`pip install mlrun scikit-learn~=1.4`) and that you have configured the access to the MLRun service. "
+    "Before running this notebook make sure `mlrun` and `sklearn` packages are installed (`pip install mlrun scikit-learn~=1.4.0`) and that you have configured the access to the MLRun service. "
    ]
   },
   {

docs/tutorials/colab/01-mlrun-basics-colab.ipynb

@@ -46,7 +46,7 @@
     "\n",
     "**Before you start, make sure the MLRun client package is installed and configured properly !**\n",
     "\n",
-    "This notebook uses sklearn. If it is not installed in your environment run `!pip install scikit-learn~=1.4`."
+    "This notebook uses sklearn. If it is not installed in your environment run `!pip install scikit-learn~=1.4.0`."
    ]
   },
   {
@@ -61,7 +61,7 @@
    "outputs": [],
    "source": [
     "# install MLRun and sklearn, run this only once (restart the notebook after the install !!!)\n",
-    "%pip install mlrun scikit-learn~=1.4"
+    "%pip install mlrun scikit-learn~=1.4.0"
    ]
   },
   {
@@ -120,9 +120,7 @@
     ]
    },
    "outputs": [],
-   "source": [
-    "%pip install uvicorn~=0.17.0 dask-kubernetes~=0.11.0 apscheduler~=3.6 sqlite3-to-mysql~=1.4 scikit-learn~=1.4"
-   ]
+   "source": "%pip install uvicorn~=0.17.0 dask-kubernetes~=0.11.0 apscheduler~=3.6 sqlite3-to-mysql~=1.4 scikit-learn~=1.4.0"
   },
   {
    "cell_type": "markdown",

tests/test_requirements.py

@@ -144,6 +144,7 @@ def test_requirement_specifiers_convention():
         # conda requirements since conda does not support ~= operator
         "lightgbm": {">=3.0"},
         "protobuf": {"~=3.20.3", ">=3.20.3, <4"},
+        "scikit-learn": {"~=1.4.0"},
     }
 
     for (