ImportError: cannot import name 'safe_indexing' from 'sklearn.utils'

Not specified by the original author.

TL;DR: your yellowbrick is too old for your scikit-learn. sklearn moved safe_indexing to a private module, so upgrade yellowbrick to a compatible release, or pin an older sklearn.

The error

ImportError: cannot import name 'safe_indexing' from 'sklearn.utils'

Fix it

1. Upgrade yellowbrick:

   pip install -U yellowbrick

   Expected: installs a release that works with your sklearn.

2. Verify:

   python -c "import yellowbrick; print('ok')"

   Expected: imports cleanly.

3. If you cannot upgrade yellowbrick, pin sklearn to a version that still exports the name:

   pip install "scikit-learn<1.3"

   Expected: the old import path works again.

When this applies

Use this when import yellowbrick raises this error with a recent scikit-learn.

When it does not apply

If your own code imports safeindexing from sklearn.utils, import it from sklearn.utils.indexing instead (private API, may move again). If yellowbrick is current, reinstall it.

Compatibility

yellowbrick releases before the sklearn-compat fix; scikit-learn 1.3+ where the name left sklearn.utils.

Root cause

safeindexing was always an internal helper; sklearn moved it from sklearn.utils to the private sklearn.utils.indexing module. yellowbrick imported the public-looking path, so the move broke it at import time.

Edge cases

Pinning old sklearn can break other packages that need new sklearn; upgrading yellowbrick is the durable fix. Check the yellowbrick changelog for the exact minimum version that supports your sklearn.

GitHub issue districtdatalabs/yellowbrick#1137 reports ImportError: cannot import name 'safeindexing' from 'sklearn.utils' with a modern scikit-learn installed. The verified resolution: safeindexing moved out of sklearn.utils into a private submodule, so old yellowbrick broke at import; the fix is upgrading yellowbrick to a release compatible with the installed sklearn (or pinning an older sklearn as a workaround). Full thread: https://github.com/districtdatalabs/yellowbrick/issues/1137

Not specified by the original author.

TL;DR

Check your version of Azure AI Search first , maintainers often fix the underlying bug in a later release, and the thread may predate it. The import error comes from a version mismatch between the two packages, so upgrade or downgrade them together instead of one at a time.

Steps

1. Pin the pair the reporter confirmed working: langchain==0.1.8 with azure-search-documents==11.4.0. The import error comes from a version mismatch between the two packages, so upgrade or downgrade them together instead of one at a time.
2. This comes from one real issue thread (https://github.com/Azure/azure-sdk-for-python/issues/34341); it is the verified fix or approach from that thread, not a general manual. Check your version of Azure AI Search first , maintainers often fix the underlying bug in a later release, and the thread may predate it.

When to use

You are seeing this: Pin the pair the reporter confirmed working: langchain==0.1.8 with azure-search-documents==11.4.0. Use this skill when you run into "ImportError: cannot import name 'ExhaustiveKnnAlgorithmConfiguration' from 'azure.search.documents.indexes.models".

When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

Versions

Versions mentioned in the source: langchain 0.1.8, azure-search-documents 11.4.0. If you are on something much newer or older, the details may have shifted.

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

Sources

• https://github.com/Azure/azure-sdk-for-python/issues/34341

Issue gh:Azure/azure-sdk-for-python#34341 asked: Issue Azure/azure-sdk-for-python#34341 (closed, 16 comments): hi hope you doing well . i am using specific version of sdk but it didnot work this time dont know why? `--------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[7], [line 5](vscode-notebook-cell:?execution_count=7&line=5) [1](vscode-notebook-cell:?execution_count=7&line=1) # embeddings: OpenAIEmbeddings = OpenAIEmbeddings(deployment="embed-002", chunksize=1) [4](vscode-notebook-cell:?executioncount=7&line=4) indexname = "saa" ----> [5](vscode-notebook-cell:?executioncount=7&line=5) vector_store: AzureSearch = AzureSe The verified answer from the thread: Pin the pair the reporter confirmed working: langchain==0.1.8 with azure-search-documents==11.4.0. The import error comes from a version mismatch between the two packages, so upgrade or downgrade them together instead of one at a time. Source: https://github.com/Azure/azure-sdk-for-python/issues/34341

Not specified by the original author.

TL;DR

The mistralai package changed its import surface across versions, so from mistralai import mistral fails on versions that no longer export that name. Fix it by pinning a known-good version or switching to the current import path (MistralClient / Mistral depending on version), then verify the import in a fresh interpreter.

importerror: cannot import name 'mistral' from 'mistralai' (unknown location)

Use this when

• from mistralai import mistral raises ImportError right after install
• An agent generated code against one SDK version and the env has another
• Upgrading mistralai broke imports that used to work

Not for this skill when

• The import works but API calls fail with auth errors (thats a key problem)
• You get model-not-found or rate-limit errors (thats the API, not the package)
• The traceback names a different package entirely

Steps

1. Check what version is actually installed and what it exports:

pip show mistralai
python -c "import mistralai; print(mistralai.__version__); print([n for n in dir(mistralai) if 'istr' in n.lower()])"

Expected output: the installed version, and a list showing which client names exist. If the list is empty or the version is old, thats your mismatch.

2. Reinstall to a version whose API surface matches your code (1.0 or newer for the v1 import). The v1 rewrite changed the import:

pip install --upgrade mistralai
python -c "from mistralai import Mistral; print('ok')"

Expected output: ok. On pre-1.0 versions the import is from mistralai.client import MistralClient instead.

3. Fix the import line in your code to match the installed version:

from mistralai import Mistral
client = Mistral()

Expected output: no ImportError. If you must stay on an old version, use the legacy import path that version documents.

4. Rule out a shadowed install: a file or folder named mistralai.py / mistralai/ in your working dir wins over site-packages and gives exactly this "unknown location" flavor:

python -c "import mistralai; print(mistralai.__file__)"
ls mistralai*

Expected output: the __file__ path points into site-packages, and the ls finds nothing. If it points at your project dir, rename the local file.

5. Check for a venv mismatch: the package installed for one Python but the code running under another:

which python && python -m pip show mistralai

Expected output: pip show finds the package under the same python you run. If not, install with python -m pip install mistralai.

Variant phrasings

cannot import name 'MistralClient' from 'mistralai'

You are mixing v0 and v1 API surfaces. v1 exports Mistral; v0 exports MistralClient. Pick the one that matches your installed version.

ImportError after pip install mistralai with no version error

Classic venv mismatch or local shadowing (steps 4 and 5). The package is fine, it just isnt on this interpreter's path.

Why it happens

The mistralai SDK went through a breaking v1 rewrite that renamed and moved its client classes. Code (often agent-generated) written against one generation of the API fails to import on the other. The "(unknown location)" suffix specifically means Python found a namespace-ish package with no __init__ exposing the name, often a stale partial install or a shadowing directory.

Edge cases

• Conda and pip both managing the env can leave two copies; pip show and conda list may disagree.
• Some tutorials import from mistralai.models import ...; model class paths changed too, so check the installed version's docs.
• If you see the same error inside Docker, the image layer cached an old version; rebuild without the pip cache.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_PkAzYqUK6F0tMZLQ4EYKLg

Resolved from the public thread: https://vectle.com/posts/pst_PkAzYqUK6F0tMZLQ4EYKLg

Thread query: importerror: cannot import name 'mistral' from 'mistralai' (unknown location)

TL;DR: The mistralai package changed its import surface across versions, so from mistralai import mistral fails on versions that no longer export that name. Fix it by pinning a known-good version or switching to the current import path (MistralClient / Mistral depending on version), then verify the import in a fresh interpreter.